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A B C D E F G H I J K L M N O P R S T U V W X Y Z

## A

AbstractConverterPlugIn - Class in org.joone.util
  This abstract class must be extended to implement plug-ins for input or output data pre- or post-processing
AbstractConverterPlugIn() - Constructor for class org.joone.util.AbstractConverterPlugIn
  Creates a new instance of AbstractConverterPlugIn
AbstractConverterPlugIn(String) - Constructor for class org.joone.util.AbstractConverterPlugIn
  Creates a new instance of AbstractConverterPlugIn
AbstractEventNotifier - Class in org.joone.engine
  This class raises an event notification invoking the corrisponnding Monitor.fireXXX method.
AbstractEventNotifier(Monitor) - Constructor for class org.joone.engine.AbstractEventNotifier
  Creates a new instance of AbstractEventNotifier
AbstractLearner - Class in org.joone.engine
  This class provides some basic simple functionality that can be used (extended) by other learners.
AbstractLearner() - Constructor for class org.joone.engine.AbstractLearner
  Creates a new instance of AbstractLearner
AbstractTeacherSynapse - Class in org.joone.engine.learning
  This class provides a framework to extend in order to implement various teachers, just by overriding or implementing certain functions different functionality can easily implemented.
AbstractTeacherSynapse() - Constructor for class org.joone.engine.learning.AbstractTeacherSynapse
  Creates a new instance of AbstractTeacherSynapse
addConvergenceListener(ConvergenceListener) - Method in class org.joone.engine.listeners.ConvergenceObserver
  Adds a convergence listener.
addDeltaRuleExtender(DeltaRuleExtender) - Method in class org.joone.engine.ExtendableLearner
  Adds a delta extender.
addGradientExtender(GradientExtender) - Method in class org.joone.engine.ExtendableLearner
  Adds a gradient extender.
addInputSynapse(InputPatternListener) - Method in class org.joone.engine.Layer
  Adds a new input synapse to the layer
addInputSynapse(InputPatternListener) - Method in interface org.joone.engine.NeuralLayer
  Adds a new input synapse to the layer
addInputSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse
  Adds an input synapse to the switch
addInputSynapse(InputPatternListener) - Method in class org.joone.net.NestedNeuralLayer
addInputSynapse(InputPatternListener) - Method in class org.joone.net.NeuralNet
addLayer(Layer) - Method in class org.joone.net.NeuralNet
addLayer(Layer, int) - Method in class org.joone.net.NeuralNet
addLayer(Layer) - Method in class org.joone.structure.Nakayama
  Adds layers to this optimizer.
addLayers(NeuralNet) - Method in class org.joone.structure.Nakayama
  Adds all the hidden layers to this optimizer.
addLearner(int, String) - Method in class org.joone.engine.Monitor
  Adds a new Learner to the Neural Network Usage: Monitor.addLearner(0, "org.joone.engine.BasicLearner"); Monitor.addLearner(1, "org.joone.engine.BatchLearner"); Monitor.addLearner(2, "org.joone.engine.RpropLearner");
addMacro(String, String) - Method in class org.joone.script.MacroManager
addNeuralNetListener(NeuralNetListener) - Method in class org.joone.engine.Monitor
  adds a neural net event listener the Monitor
addNeuralNetListener(NeuralNetListener, boolean) - Method in class org.joone.engine.Monitor
  adds a neural net event listener to the Monitor
addNeuralNetListener(NeuralNetListener) - Method in class org.joone.net.NeuralNet
addNoise(double) - Method in class org.joone.engine.DelaySynapse
addNoise(double) - Method in class org.joone.engine.FIRFilter
addNoise(double) - Method in class org.joone.engine.Layer
  Adds a noise componentto the biases of the layer and to all the input connected synapses.
addNoise(double) - Method in class org.joone.engine.Matrix
  Adds noise to the weights.
addNoise(double) - Method in interface org.joone.engine.NeuralLayer
  Adds a noise to the biases of the layer and to all the input synapses connected
addNoise(double) - Method in class org.joone.engine.Synapse
  Adds a noise to the weights of the synapse
addNoise(double) - Method in class org.joone.net.NestedNeuralLayer
addNoise(double) - Method in class org.joone.net.NeuralNet
addOutputPluginListener(OutputPluginListener) - Method in class org.joone.util.OutputConverterPlugIn
  Deprecated. Use `AbstractConverterPlugIn.addPlugInListener(PlugInListener)`
addOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.Layer
  Adds a new output synapse to the layer
addOutputSynapse(OutputPatternListener) - Method in interface org.joone.engine.NeuralLayer
  Adds a new output synapse to the layer
addOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse
  Adds an output synapse to the switch
addOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NestedNeuralLayer
addOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NeuralNet
addPlugIn(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse
  Adds a plug in to the stream input synapse for data preprocessing.
addPlugIn(OutputConverterPlugIn) - Method in class org.joone.io.StreamOutputSynapse
  Adds a plug in to the stream output synapse for data preprocessing.
addPlugIn(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn
  Adds a plug-in at the end of the list of plug-ins.
addPlugInListener(PlugInListener) - Method in class org.joone.io.StreamInputSynapse
  Adds a plug-in lsitener to this input stream.
addPlugInListener(PlugInListener) - Method in class org.joone.util.AbstractConverterPlugIn
  Adds an `PlugInListener` to this plug-in.
addResultSynapse(OutputPatternListener) - Method in interface org.joone.engine.learning.ComparingElement
  Adds an output synapse to which the result must be sent
addResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.ComparingSynapse
addResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.TeachingSynapse
addTrainingSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch
addValidationListener(NeuralValidationListener) - Method in class org.joone.net.NeuralNetValidator
addValidationSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch
adjustSizeToFwdPattern(double[]) - Method in class org.joone.engine.Layer
  Adjusts the size of a layer if the size of the forward pattern differs.
adjustSizeToFwdPattern(double[]) - Method in class org.joone.engine.RbfLayer
  Adjusts the size of a layer if the size of the forward pattern differs.
adjustSizeToRevPattern(double[]) - Method in class org.joone.engine.Layer
  Adjusts the size of a layer if the size of the reverse pattern differs.
apply() - Method in class org.joone.util.AbstractConverterPlugIn
  Applies all the conversions on the patterns contained by `AbstractConverterPlugIn.InputVector`
apply() - Method in class org.joone.util.ToBinaryPlugin
ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.CircularSpatialMap
ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.GaussianSpatialMap
ApplyNeighborhoodFunction(double[], double[], boolean) - Method in class org.joone.engine.SpatialMap
  Applies the neighborhood strategy based on this spatial maps implementation.
applyOnColumns() - Method in class org.joone.util.AbstractConverterPlugIn
  Applies the conversion on the patterns contained by `AbstractConverterPlugIn.InputVector` and on the columns specifed by the call to `setAdvancedSerieSelector#setAdvancedSerieSelector`.
applyOnRows() - Method in class org.joone.util.AbstractConverterPlugIn
  Applies the conversion on the patterns contained by `AbstractConverterPlugIn.InputVector` on all the rows.
applyOnRows() - Method in class org.joone.util.ColumnSelectorPlugIn
applyOnRows() - Method in class org.joone.util.ShufflePlugin
array - Variable in class org.joone.engine.FIRFilter
array - Variable in class org.joone.engine.Synapse

## B

b_pattern - Variable in class org.joone.engine.Synapse
backDelay(double[]) - Method in class org.joone.engine.FIRFilter
backFilter(double) - Method in class org.joone.engine.FIRFilter
backmemory - Variable in class org.joone.engine.FIRFilter
backmemory - Variable in class org.joone.engine.MemoryLayer
backward(double[]) - Method in class org.joone.engine.BiasedLinearLayer
backward(double[]) - Method in class org.joone.engine.BufferedSynapse
backward(double[]) - Method in class org.joone.engine.ContextLayer
backward(double[]) - Method in class org.joone.engine.DelayLayer
backward(double[]) - Method in class org.joone.engine.DelaySynapse
backward(double[]) - Method in class org.joone.engine.DirectSynapse
backward(double) - Method in class org.joone.engine.FIRFilter
backward(double[]) - Method in class org.joone.engine.FreudRuleFullSynapse
backward(double[]) - Method in class org.joone.engine.FullSynapse
backward(double[]) - Method in class org.joone.engine.GaussianLayer
  This method has a blank body as there are no biases to adjust.
backward(double[]) - Method in class org.joone.engine.GaussLayer
backward(double[]) - Method in class org.joone.engine.KohonenSynapse
  Adjusts the weights of this Kohonen Synapse according to the neighborhood fall off distance calculated by the next layer.
backward(double[]) - Method in class org.joone.engine.Layer
  Reverse transfer function of the component.
backward(double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
backward(double[]) - Method in class org.joone.engine.learning.ComparingSynapse
  Training phase.
backward(double[]) - Method in class org.joone.engine.learning.ComparisonSynapse
backward(double[]) - Method in class org.joone.engine.learning.TeachingSynapse
  Training phase.
backward(double[]) - Method in class org.joone.engine.LinearLayer
backward(double[]) - Method in class org.joone.engine.LogarithmicLayer
  Reverse transfer function of the component.
backward(double[]) - Method in class org.joone.engine.MemoryLayer
  Reverse transfer function of the component.
backward(double[]) - Method in class org.joone.engine.OutputSwitchSynapse
backward(double[]) - Method in class org.joone.engine.RbfGaussianLayer
backward(double[]) - Method in class org.joone.engine.RbfInputSynapse
backward(double[]) - Method in class org.joone.engine.SangerSynapse
  Training Function
backward(double[]) - Method in class org.joone.engine.SigmoidLayer
backward(double[]) - Method in class org.joone.engine.SimpleLayer
backward(double[]) - Method in class org.joone.engine.SineLayer
backward(double[]) - Method in class org.joone.engine.Synapse
  Funzione di TRAIN dell'elemento.
backward(double[]) - Method in class org.joone.engine.TanhLayer
backward(double[]) - Method in class org.joone.engine.WTALayer
  No biases need updating or setting.
backward(double[]) - Method in class org.joone.io.InputSwitchSynapse
backward(double[]) - Method in class org.joone.io.StreamInputSynapse
backward(double[]) - Method in class org.joone.io.StreamOutputSynapse
backward(double[]) - Method in class org.joone.net.NestedNeuralLayer
backward(double[]) - Method in class org.joone.structure.PatternForwardedSynapse
BasicLearner - Class in org.joone.engine
BasicLearner() - Constructor for class org.joone.engine.BasicLearner
BatchLearner - Class in org.joone.engine
  BatchLearner stores the weight/bias changes during the batch and updates them after the batch is done.
BatchLearner() - Constructor for class org.joone.engine.BatchLearner
BatchLearner(int) - Constructor for class org.joone.engine.BatchLearner
  Deprecated. use BatchLearner() and set the batch size with monitor.setBatchSize()
BatchModeExtender - Class in org.joone.engine.extenders
  This class implements the offline learning, that is, batch mode.
BatchModeExtender() - Constructor for class org.joone.engine.extenders.BatchModeExtender
  Creates a new instance of BatchModeExtender
bias - Variable in class org.joone.engine.Layer
  Holds the bias of neurons of the layer
BiasedLinearLayer - Class in org.joone.engine
  This layer consists of linear neurons, i.e. neurons that sum up their inputs (actually this is done by the (full) synapse in Joone) along with their biases.
BiasedLinearLayer() - Constructor for class org.joone.engine.BiasedLinearLayer
  Creates a new instance of BiasedLinearLayer
BiasedLinearLayer(String) - Constructor for class org.joone.engine.BiasedLinearLayer
  Creates a new instance of BiasedLinearLayer.
BiasInspection - Class in org.joone.inspection.implementations
BiasInspection(Matrix) - Constructor for class org.joone.inspection.implementations.BiasInspection
bitems - Variable in class org.joone.engine.Synapse
bouts - Variable in class org.joone.engine.FIRFilter
bouts - Variable in class org.joone.engine.Synapse
BufferedSynapse - Class in org.joone.engine
  This class implements a synapse that permits to have asynchronous methods to write output patterns.
BufferedSynapse() - Constructor for class org.joone.engine.BufferedSynapse
  BufferedOutputSynapse constructor.

## C

calculateError(double, double, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Calculates the error to be backpropaged for a single output neuron.
calculateError(double, double, int) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
calculateError(double, double, int) - Method in class org.joone.engine.learning.TeacherSynapse
calculateGlobalError() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  This method is called after an epoch finished and the global error should be calculated.
calculateGlobalError() - Method in class org.joone.engine.learning.TeacherSynapse
calculateNewACS() - Method in class org.joone.io.ImageInputSynapse
  Calculates the new value for AdvancedColumnSelector
calculateOrderedLayers() - Method in class org.joone.net.NeuralNet
  This method calculates the order of the layers of the network, from the input to the output.
calculatePVW(int, int) - Method in class org.joone.util.DeltaNormPlugIn
CalendarEnd - Variable in class org.joone.io.YahooFinanceInputSynapse
CalendarStart - Variable in class org.joone.io.YahooFinanceInputSynapse
canCountSteps() - Method in class org.joone.engine.Synapse
  Returns TRUE if the synapse calls the method nextStep() on the Monitor object when the fwdGet() method is called
cascade() - Method in class org.joone.util.AbstractConverterPlugIn
  Cascades the `convertPatterns()` method call to the next plug-in.
CenterOnZeroPlugIn - Class in org.joone.util
  Center around the zero all the time series subtracting its average Creation date: (23/10/2000 23.55.34)
CenterOnZeroPlugIn() - Constructor for class org.joone.util.CenterOnZeroPlugIn
  CenterOnZeroPlugIn constructor comment.
CenterOnZeroPlugInBeanInfo - Class in org.joone.util
CenterOnZeroPlugInBeanInfo() - Constructor for class org.joone.util.CenterOnZeroPlugInBeanInfo
check() - Method in class org.joone.engine.DelayLayer
check() - Method in class org.joone.engine.DelaySynapse
check() - Method in class org.joone.engine.DirectSynapse
check() - Method in class org.joone.engine.GaussianLayer
  Check that there are no errors or problems with the properties of this GaussianLayer.
check() - Method in class org.joone.engine.KohonenSynapse
  Check that there are no errors or problems with the properties of this KohonenSynapse.
check() - Method in class org.joone.engine.Layer
  Get check messages from listeners.
check() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
check() - Method in class org.joone.engine.learning.ComparingSynapse
check() - Method in class org.joone.engine.learning.ComparisonSynapse
check() - Method in class org.joone.engine.learning.TeachingSynapse
check() - Method in class org.joone.engine.MemoryLayer
check() - Method in class org.joone.engine.Monitor
check() - Method in interface org.joone.engine.NeuralElement
  Validation checks for invalid parameter values, misconfiguration, etc.
check() - Method in interface org.joone.engine.NeuralLayer
  Validation checks for invalid parameter values, misconfiguration, etc.
check() - Method in class org.joone.engine.OutputSwitchSynapse
  Base for check messages.
check() - Method in class org.joone.engine.Synapse
  Base for check messages.
check() - Method in class org.joone.engine.WTALayer
  Check that there are no errors or problems with the properties of this WTALayer.
check() - Method in class org.joone.io.FileInputSynapse
  Returns a TreeSet of errors or problems regarding the setup of this synapse.
check() - Method in class org.joone.io.FileOutputSynapse
check() - Method in class org.joone.io.ImageInputSynapse
  Checks and returns any problems found with the settings of this synapse.
check() - Method in class org.joone.io.ImageOutputSynapse
  Checks and returns any problems found with the settings of this synapse.
check() - Method in class org.joone.io.InputConnector
check() - Method in class org.joone.io.InputSwitchSynapse
  Check that parameters are set correctly.
check() - Method in class org.joone.io.JDBCInputSynapse
  Check that parameters are set correctly for the this JDBCInputSynapse object.
check() - Method in class org.joone.io.JDBCOutputSynapse
  Check that parameters are set correctly for the this JDBCInputSynapse object.
check() - Method in class org.joone.io.StreamInputSynapse
  Check that parameters are set correctly.
check() - Method in class org.joone.io.StreamOutputSynapse
check() - Method in class org.joone.io.XLSInputSynapse
  Returns a TreeSet of problems or errors with the setup of this XLSInputSynapse object.
check() - Method in class org.joone.io.XLSOutputSynapse
  Checks and returns any problems found with the settings of this synapse.
check() - Method in class org.joone.io.YahooFinanceInputSynapse
  Check that there are no errors or problems with the properties of this YahooFinanceInputSynapse.
check() - Method in class org.joone.net.NestedNeuralLayer
check() - Method in class org.joone.net.NetChecker
  Validation checks for invalid parameter values, misconfiguration, etc.
check() - Method in class org.joone.net.NeuralNet
  Compiles all layers' check messages.
check(TreeSet) - Method in class org.joone.util.AbstractConverterPlugIn
  This method is called to perform a check on this converter's properties to ensure there are no errors or problems.
check() - Method in class org.joone.util.LearningSwitch
checkInputEnabled() - Method in class org.joone.engine.Layer
  Checks if at least one input synapse is enabled
checkInputs(Vector) - Method in class org.joone.engine.Layer
  Determine whether ther are any stream input synapses attached.
checkOutputs(Vector) - Method in class org.joone.engine.Layer
  Determine whether ther are any stream output or teach synapses attached.
cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer
  Updates the Gaussian Size if in learning mode.
cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse
  Changes the learning rate for this synapse depending in the current epoch number.
cicleTerminated(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter
cicleTerminated(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener
cicleTerminated(NeuralNetEvent) - Method in class org.joone.net.NeuralNet
  Not implemented.
cicleTerminated(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator
cicleTerminated(NeuralNetEvent) - Method in class org.joone.structure.Nakayama
cicleTerminated(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin
  cicleTerminated method.
cicleTerminated(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner
CircularSpatialMap - Class in org.joone.engine
  This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.
CircularSpatialMap() - Constructor for class org.joone.engine.CircularSpatialMap
  Creates a new instance of CircularSpatialMap
cleanUp() - Method in class org.joone.structure.Nakayama
  This method is called after optimization, e.g. to restore the listeners.
clear() - Method in class org.joone.engine.Matrix
  Clears (resets) the matrix object.
clone() - Method in class org.joone.engine.Matrix
  Clones this matrix object.
clone() - Method in class org.joone.engine.Pattern
clone() - Method in class org.joone.script.JooneMacro
cloneNet() - Method in class org.joone.net.NeuralNet
  Creates a copy of the contained neural network
cols - Variable in class org.joone.io.StreamInputSynapse
ColumnNames - Variable in class org.joone.io.YahooFinanceInputSynapse
ColumnSelectorPlugIn - Class in org.joone.util
  Certain plug-ins change the number of columns during their conversion, for example the `ToBinaryPlugin` increases the number of columns.
ColumnSelectorPlugIn() - Constructor for class org.joone.util.ColumnSelectorPlugIn
  Creates a new instance of ColumnSelectorPlugIn
ColumnSelectorPlugIn(String) - Constructor for class org.joone.util.ColumnSelectorPlugIn
  Creates a new instance of ColumnSelectorPlugIn
compareTo(Object) - Method in class org.joone.net.NetCheck
  Method to order by message when in TreeSet.
ComparingElement - Interface in org.joone.engine.learning
  This interface describes an element that can compare the output of the layer to which it is connected, with another input derivating from a StreamInputSynapse named 'desired'.
ComparingSynapse - Class in org.joone.engine.learning
ComparingSynapse() - Constructor for class org.joone.engine.learning.ComparingSynapse
ComparingSynapseBeanInfo - Class in org.joone.engine.learning
ComparingSynapseBeanInfo() - Constructor for class org.joone.engine.learning.ComparingSynapseBeanInfo
ComparisonSynapse - Class in org.joone.engine.learning
  Final element of a neural network; it permits to compare the outcome of the neural net and the input patterns from a StreamInputSynapse connected to the 'desired' property.
ComparisonSynapse() - Constructor for class org.joone.engine.learning.ComparisonSynapse
constructErrorPattern(double[], double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Constructs the error pattern that will be back-propagated.
ContextLayer - Class in org.joone.engine
  The context layer is similar to the linear layer except that it has an auto-recurrent connection between its output and input.
ContextLayer() - Constructor for class org.joone.engine.ContextLayer
ContextLayer(String) - Constructor for class org.joone.engine.ContextLayer
ConvergenceEvent - Class in org.joone.engine.listeners
  This event will be generated whenever convergence has reached according to some criteria.
ConvergenceEvent(Monitor) - Constructor for class org.joone.engine.listeners.ConvergenceEvent
  Creates a new instance of ConvergenceEvent
ConvergenceListener - Interface in org.joone.engine.listeners
  Listens for convergence events.
ConvergenceObserver - Class in org.joone.engine.listeners
  Abstract class for all convergence observer.
ConvergenceObserver() - Constructor for class org.joone.engine.listeners.ConvergenceObserver
  Creates a new instance of ConvergenceObserver
convert(int) - Method in class org.joone.util.AbstractConverterPlugIn
  Applies the conversion on the Nth serie of the buffered pattern data.
convert(int) - Method in class org.joone.util.CenterOnZeroPlugIn
  Starts the convertion
convert(int) - Method in class org.joone.util.ColumnSelectorPlugIn
convert(int) - Method in class org.joone.util.DeltaNormPlugIn
convert(int) - Method in class org.joone.util.LogarithmicPlugIn
  Start the convertion
convert(int) - Method in class org.joone.util.MinMaxExtractorPlugIn
  Executes the extraction of the inversion points (29/09/00 15.12.32)
convert(int) - Method in class org.joone.util.MovingAveragePlugIn
  Start the convertion to a moving average for the required serie.
convert(int) - Method in class org.joone.util.NormalizerPlugIn
  Start the convertion
convert(int) - Method in class org.joone.util.RbfRandomCenterSelector
convert(int) - Method in class org.joone.util.ShufflePlugin
convert(int) - Method in class org.joone.util.ToBinaryPlugin
convert(int) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Provides buffer conversion support by converting the patterns in the buffer returned by getInputVector().
convert_pattern(int) - Method in class org.joone.util.OutputConverterPlugIn
  Applies the preprocessing on the Nth serie of the data.
convert_pattern(int) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Converts a pattern indicated by getPattern() method.
convertAllPatterns() - Method in class org.joone.util.OutputConverterPlugIn
  Deprecated. Use `AbstractConverterPlugIn.convertPatterns()`
ConverterPlugIn - Class in org.joone.util
  This abstract class must be extended to implement plug-ins for input data preprocessing.
ConverterPlugIn() - Constructor for class org.joone.util.ConverterPlugIn
  The default constructor of the ConverterPlugIn.
ConverterPlugIn(String) - Constructor for class org.joone.util.ConverterPlugIn
  Constructor of the ConverterPlugIn.
ConverterPlugInBeanInfo - Class in org.joone.util
ConverterPlugInBeanInfo() - Constructor for class org.joone.util.ConverterPlugInBeanInfo
convertPattern() - Method in class org.joone.util.OutputConverterPlugIn
  Applies the preprocessing on the patterns contained in the conv_patterns
convertPatterns() - Method in class org.joone.util.AbstractConverterPlugIn
  Converts all the patterns contained by `AbstractConverterPlugIn.InputVector` and on the serie specifed by the call to `setAdvancedSerieSelector#setAdvancedSerieSelector`.
copyInto(NeuralLayer) - Method in class org.joone.engine.Layer
  Copies one layer into another, to obtain a type-transformation from one kind of Layer to another.
copyInto(NeuralLayer) - Method in interface org.joone.engine.NeuralLayer
  Copies a Layer into another one, to obtain a type-transformation from a kind of Layer to another.
copyInto(NeuralLayer) - Method in class org.joone.net.NestedNeuralLayer
copyInto(NeuralLayer) - Method in class org.joone.net.NeuralNet
count - Variable in class org.joone.engine.Synapse
CRITERION - Static variable in class org.joone.engine.learning.FahlmanTeacherSynapse
  Constant to indicate (key) the parameter for checking (in the monitor object) if the criterion has been forfilled or not.
CSVParser - Class in org.joone.util
  Comma Separated Values Parser This helper class parses a string containing comma separated tokens.
CSVParser(String) - Constructor for class org.joone.util.CSVParser
  Creates a new instance of CSVParser
CSVParser(String, boolean) - Constructor for class org.joone.util.CSVParser
  Creates a new instance of CSVParser
currentLearningRate - Variable in class org.joone.engine.KohonenSynapse
currentRow - Variable in class org.joone.io.StreamInputSynapse

## D

dataChanged(PlugInEvent) - Method in class org.joone.io.InputConnector
dataChanged(PlugInEvent) - Method in class org.joone.io.InputSwitchSynapse
dataChanged(PlugInEvent) - Method in class org.joone.io.StreamInputSynapse
dataChanged(PlugInEvent) - Method in class org.joone.io.StreamOutputSynapse
dataChanged(PlugInEvent) - Method in class org.joone.util.AbstractConverterPlugIn
dataChanged(PlugInEvent) - Method in interface org.joone.util.PlugInListener
  This method is called by plug-ins whenever data is changed.
date_formater - Variable in class org.joone.io.YahooFinanceInputSynapse
DateEnd - Variable in class org.joone.io.YahooFinanceInputSynapse
DateStart - Variable in class org.joone.io.YahooFinanceInputSynapse
debug(Object) - Method in interface org.joone.log.ILogger
debug(Object, Throwable) - Method in interface org.joone.log.ILogger
debug(Object) - Method in class org.joone.log.JooneLogger
debug(Object, Throwable) - Method in class org.joone.log.JooneLogger
debug(Object) - Method in class org.joone.log.Log4JLogger
debug(Object, Throwable) - Method in class org.joone.log.Log4JLogger
DEFAULT_INITIAL - Static variable in class org.joone.engine.Matrix
  This constant defines the boundaries of the default domain used for weight initialization.
Delay(double) - Method in class org.joone.engine.FIRFilter
DelayLayer - Class in org.joone.engine
  Delay unit to create temporal windows from time series
  `O---> Yk(t-N)
  |
  ...`
DelayLayer() - Constructor for class org.joone.engine.DelayLayer
  Constructor method
DelayLayer(String) - Constructor for class org.joone.engine.DelayLayer
  Constructor method
DelayLayerBeanInfo - Class in org.joone.engine
DelayLayerBeanInfo() - Constructor for class org.joone.engine.DelayLayerBeanInfo
DelaySynapse - Class in org.joone.engine
  This Synapse connects the N input neurons with the M output neurons using a matrix of FIRFilter elements of size NxM.
DelaySynapse() - Constructor for class org.joone.engine.DelaySynapse
delta - Variable in class org.joone.engine.Matrix
  The value of the last modification, i.e. the last update.
DeltaBasedConvergenceObserver - Class in org.joone.engine.listeners
  This observer observes if the network has convergenced based on the size of the weight updates (deltas).
DeltaBasedConvergenceObserver() - Constructor for class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Creates a new instance of DeltaBasedConvergenceObserver
DeltaNormPlugIn - Class in org.joone.util
  This plugin calculates the Delta Normalization on a time series.
DeltaNormPlugIn() - Constructor for class org.joone.util.DeltaNormPlugIn
  Creates a new instance of DeltaNormPlugin
DeltaNormPlugInBeanInfo - Class in org.joone.util
DeltaNormPlugInBeanInfo() - Constructor for class org.joone.util.DeltaNormPlugInBeanInfo
DeltaRuleExtender - Class in org.joone.engine.extenders
  This abstract class describes the methods needed for a delta rule extender, that is, a class that computes / changes the delta (update weight) value according to some algorithm.
DeltaRuleExtender() - Constructor for class org.joone.engine.extenders.DeltaRuleExtender
  Creates a new instance of DeltaExtender
desired - Variable in class org.joone.engine.learning.AbstractTeacherSynapse
  The stream from where to read the desired input.
DirectSynapse - Class in org.joone.engine
DirectSynapse() - Constructor for class org.joone.engine.DirectSynapse
disableAll() - Method in class org.joone.engine.Matrix
  Disables all the weights (or biases) of this matrix.
disableCurrentConvergence - Variable in class org.joone.engine.listeners.ConvergenceObserver
  The next flag indicates if the current convegence should be neglected.
disableCurrentConvergence() - Method in class org.joone.engine.listeners.ConvergenceObserver
  Disables current convergence events.
distanceBetween(int, int, int, int, int, int) - Method in class org.joone.engine.SpatialMap
  Calculates the squared distance between vector (x1,y1,z1) and (x2,y2,z2) and returns the result.
doOptimize() - Method in class org.joone.structure.Nakayama
  Optimizes the activation functions of the network.
doSnapshot() - Method in class org.joone.util.SnapshotPlugin
  Allows subclasses to define specific snapshot generation.
doSnapshot() - Method in class org.joone.util.SnapshotRecorder
  Generates a snapshot of the current state of the network,
doStart() - Method in class org.joone.util.SnapshotPlugin
  Allows subclasses to define specific start processing.
doStart() - Method in class org.joone.util.SnapshotRecorder
  Creates the output stream used to write snapshots.
doStop() - Method in class org.joone.util.SnapshotPlugin
  Allows subclasses to define specific stop processing.
doStop() - Method in class org.joone.util.SnapshotRecorder
  Flush the output buffer and close the file.
DynamicAnnealing - Class in org.joone.util
  This plugin controls the change of the learning rate based on the difference between the last two global error (E) values: if E(t) > E(t-1) then LR = LR * (1 - step/100) Note: step/100 because step is inserted as a % value from the user if E(t) <= E(t-1) then LR is unchanged
DynamicAnnealing() - Constructor for class org.joone.util.DynamicAnnealing
  Creates a new instance of DynamicAnnealing
DynamicAnnealingBeanInfo - Class in org.joone.util
DynamicAnnealingBeanInfo() - Constructor for class org.joone.util.DynamicAnnealingBeanInfo

## E

empty() - Method in class org.joone.engine.Fifo
  Tests if this stack is empty.
enableAll() - Method in class org.joone.engine.Matrix
  Enables all the weights (or biases) of this matrix.
enabled - Variable in class org.joone.engine.Matrix
  Flag indicating whether the weight is on or off.
enabled - Variable in class org.joone.engine.Synapse
EOF - Variable in class org.joone.io.StreamInputSynapse
epochFinished() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  This method is called to signal that an epoch has finished.
equal(MinMaxExtractorPlugIn.PointValue) - Method in class org.joone.util.MinMaxExtractorPlugIn.PointValue
error - Variable in class org.joone.engine.learning.AbstractTeacherSynapse
  Into this FIFO (first-in-first-out) object, the calculated error (e.g.
error(Object) - Method in interface org.joone.log.ILogger
error(Object, Throwable) - Method in interface org.joone.log.ILogger
error(Object) - Method in class org.joone.log.JooneLogger
error(Object, Throwable) - Method in class org.joone.log.JooneLogger
error(Object) - Method in class org.joone.log.Log4JLogger
error(Object, Throwable) - Method in class org.joone.log.Log4JLogger
ErrorBasedConvergenceObserver - Class in org.joone.engine.listeners
  This observer observes if the network has convergenced based on the sequence of training errors.
ErrorBasedConvergenceObserver() - Constructor for class org.joone.engine.listeners.ErrorBasedConvergenceObserver
  Creates a new instance of ErrorBasedConvergenceObserver
ErrorBasedTerminator - Class in org.joone.engine.listeners
  Stops a network whenever the training error of the network falls below a certain value.
ErrorBasedTerminator() - Constructor for class org.joone.engine.listeners.ErrorBasedTerminator
  Creates a new instance of ErrorBasedTerminator
ErrorBasedTerminator(double) - Constructor for class org.joone.engine.listeners.ErrorBasedTerminator
  Creates a new instance of ErrorBasedTerminator
errorChanged(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer
errorChanged(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse
  Not implemented.
errorChanged(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter
errorChanged(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener
errorChanged(NeuralNetEvent) - Method in class org.joone.net.NeuralNet
  Not implemented.
errorChanged(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator
errorChanged(NeuralNetEvent) - Method in class org.joone.structure.Nakayama
errorChanged(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin
errorChanged(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner
eval(String) - Method in class org.joone.script.JooneGroovyScript
eval(String) - Method in class org.joone.script.JooneScript
evaluateNeurons() - Method in class org.joone.structure.Nakayama
  Evaluates neurons, that is, this function calculates information related to the contribution of the activation functions, based on the following three criteria:
  Information from neurons to its output layers.
execute() - Method in class org.joone.util.NeuralNetRunner
ExtendableLearner - Class in org.joone.engine
  Learners that extend this class are forced to implement certain functions, a so-called skeleton.
ExtendableLearner() - Constructor for class org.joone.engine.ExtendableLearner
  Creates a new instance of ExtendableLearner
extractWinner(double[]) - Method in class org.joone.engine.SpatialMap
  Extracts the X,Y,Z co-ordinates of the winning neuron in this spatial map.

## F

FahlmanTeacherSynapse - Class in org.joone.engine.learning
  This class extends the normal Teacher synapse and implements the Fahlman 40-20-40 criterion (the values can be changed).
FahlmanTeacherSynapse() - Constructor for class org.joone.engine.learning.FahlmanTeacherSynapse
  Creates a new instance of FahlmanTeacherSynapse
FanInBasedWeightInitializer - Class in org.joone.engine.weights
  The weights are uniformly distributed (that is randomly) within the range `[LB/F_i, UB/F_i]`.
FanInBasedWeightInitializer() - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer
  Creates a new instance of FanInBasedWeightInitializer.
FanInBasedWeightInitializer(double) - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer
  Creates a new instance of FanInBasedWeightInitializer.
FanInBasedWeightInitializer(double, double) - Constructor for class org.joone.engine.weights.FanInBasedWeightInitializer
  Creates a new instance of FanInBasedWeightInitializer
fastContinue() - Method in class org.joone.net.NeuralNet
fastRun() - Method in class org.joone.net.NeuralNet
fastRun(int) - Method in class org.joone.net.NeuralNet
fatal(Object) - Method in interface org.joone.log.ILogger
fatal(Object, Throwable) - Method in interface org.joone.log.ILogger
fatal(Object) - Method in class org.joone.log.JooneLogger
fatal(Object, Throwable) - Method in class org.joone.log.JooneLogger
fatal(Object) - Method in class org.joone.log.Log4JLogger
fatal(Object, Throwable) - Method in class org.joone.log.Log4JLogger
FATAL - Static variable in class org.joone.net.NetCheck
  Fatal check severity.
Fifo - Class in org.joone.engine
  The `Fifo` class represents a first-in-first-out (FIFO) stack of objects.
Fifo() - Constructor for class org.joone.engine.Fifo
fifo - Variable in class org.joone.engine.learning.ComparisonSynapse
fifo - Variable in class org.joone.io.StreamOutputSynapse
FileInputSynapse - Class in org.joone.io
  Allows data to be presented to the network from a file.
FileInputSynapse() - Constructor for class org.joone.io.FileInputSynapse
FileInputSynapseBeanInfo - Class in org.joone.io
FileInputSynapseBeanInfo() - Constructor for class org.joone.io.FileInputSynapseBeanInfo
FileOutputSynapse - Class in org.joone.io
FileOutputSynapse() - Constructor for class org.joone.io.FileOutputSynapse
FileOutputSynapseBeanInfo - Class in org.joone.io
FileOutputSynapseBeanInfo() - Constructor for class org.joone.io.FileOutputSynapseBeanInfo
Filter(double[]) - Method in class org.joone.engine.FIRFilter
finalize() - Method in class org.joone.engine.Layer
  Method to help remove disused references quickly when the layer goes out of scope.
findCorrelation(List, int, int) - Method in class org.joone.structure.Nakayama
  Finds a correlation from a given list of correlations.
findIndex(List, int, int) - Method in class org.joone.structure.Nakayama
  Finds the index of a neuron taking into account the deletion of previous neurons.
findInputLayer() - Method in class org.joone.net.NeuralNet
  Returns the input layer, by searching for it following the rules written in Layer.isInputLayer.
findInputLayer(Synapse) - Method in class org.joone.structure.Nakayama
  Finds the input layer of a synapse.
findOutputLayer() - Method in class org.joone.net.NeuralNet
  Returns the output layer by searching for it following the rules written in Layer.isOutputLayer.
findOutputLayer(Synapse) - Method in class org.joone.structure.Nakayama
  Finds the output layer of a synapse.
fir - Variable in class org.joone.engine.DelaySynapse
fireCicleTerminated() - Method in class org.joone.engine.Monitor
  Invoked when an epoch finishes
fireDataChanged() - Method in class org.joone.io.StreamInputSynapse
  Fires an event to the plug-in listeners notifying that the underlying data has changed.
fireDataChanged() - Method in class org.joone.util.AbstractConverterPlugIn
  Fires a data changed event to all `PlugInListeners` that are registered to receive events from this plug-in object.
fireErrorChanged() - Method in class org.joone.engine.Monitor
  Invoked when the GlobalError changes
fireFwdGet() - Method in class org.joone.engine.Layer
  Calls all the fwdGet methods on the input synapses to get the input patterns
fireFwdPut(Pattern) - Method in class org.joone.engine.Layer
  Calls all the fwdPut methods on the output synapses to pass them the calculated patterns
fireNetConverged(Monitor) - Method in class org.joone.engine.listeners.ConvergenceObserver
  Fires a net converged event.
fireNetStarted() - Method in class org.joone.engine.Monitor
  Invoked when the net starts
fireNetStopped() - Method in class org.joone.engine.Monitor
  Invoked when all the epochs finish
fireNetStoppedError(String) - Method in class org.joone.engine.Monitor
  Invoked when an error occurs
fireNetValidated() - Method in class org.joone.net.NeuralNetValidator
fireRevGet() - Method in class org.joone.engine.Layer
  Calls all the revGet methods on the output synapses to get the error gradients
fireRevPut(Pattern) - Method in class org.joone.engine.Layer
  Calls all the revPut methods on the input synapses to get the input patterns and pass them the resulting calculated gradients
FIRFilter - Class in org.joone.engine
  Element of a connection representing a FIR filter (Finite Impulse Response).
FIRFilter(int) - Constructor for class org.joone.engine.FIRFilter
firstTime - Variable in class org.joone.engine.learning.ComparisonSynapse
fixAll() - Method in class org.joone.engine.Matrix
  Fixes all the weights (or biases) of this matrix.
fixed - Variable in class org.joone.engine.Matrix
  Flag indicating whether the weight is fixed or trainable / adjustable.
flush() - Method in class org.joone.io.FileOutputSynapse
flush() - Method in class org.joone.io.XLSOutputSynapse
  Write any remaining data to the XLS file.
formatMsg(String, String) - Method in class org.joone.log.JooneLogger
formats - Variable in class org.joone.util.SnapshotFormatEditor
  The supported snapshot formats
forward(double[]) - Method in class org.joone.engine.BiasedLinearLayer
forward(double[]) - Method in class org.joone.engine.BufferedSynapse
forward(double[]) - Method in class org.joone.engine.ContextLayer
forward(double[]) - Method in class org.joone.engine.DelayLayer
forward(double[]) - Method in class org.joone.engine.DelaySynapse
forward(double[]) - Method in class org.joone.engine.DirectSynapse
forward(double) - Method in class org.joone.engine.FIRFilter
forward(double[]) - Method in class org.joone.engine.FullSynapse
forward(double[]) - Method in class org.joone.engine.GaussianLayer
  This method takes as input an array of euclidean distances between the input and weights calculated by the previous synapse.
forward(double[]) - Method in class org.joone.engine.GaussLayer
forward(double[]) - Method in class org.joone.engine.KohonenSynapse
  Fowards the euclidean distance squared between the input vector and the weight vector to the next layer.
forward(double[]) - Method in class org.joone.engine.Layer
  Transfer function to recall a result on a trained net
forward(double[]) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
forward(double[]) - Method in class org.joone.engine.learning.ComparingSynapse
  Recall phase
forward(double[]) - Method in class org.joone.engine.learning.ComparisonSynapse
forward(double[]) - Method in class org.joone.engine.learning.TeachingSynapse
  Recall phase
forward(double[]) - Method in class org.joone.engine.LinearLayer
forward(double[]) - Method in class org.joone.engine.LogarithmicLayer
  Transfer function to recall a result on a trained net
forward(double[]) - Method in class org.joone.engine.MemoryLayer
  Transfer function to recall a result on a trained net
forward(double[]) - Method in class org.joone.engine.OutputSwitchSynapse
forward(double[]) - Method in class org.joone.engine.RbfGaussianLayer
forward(double[]) - Method in class org.joone.engine.RbfInputSynapse
  public Pattern revGet() { // The correct way is to overwrite revGet() to return null, // because this synapse does not perform back propagation, // however, there exist somewhere a bug.
forward(double[]) - Method in class org.joone.engine.SigmoidLayer
  This method accepts an array of values in input and forwards it according to the Sigmoid propagation pattern.
forward(double[]) - Method in class org.joone.engine.SineLayer
forward(double[]) - Method in class org.joone.engine.SoftmaxLayer
forward(double[]) - Method in class org.joone.engine.Synapse
  Recall function
forward(double[]) - Method in class org.joone.engine.TanhLayer
forward(double[]) - Method in class org.joone.engine.WTALayer
  This method accepts an array of values from the input and forwards it according to the Winner Takes All strategy.
forward(double[]) - Method in class org.joone.io.InputSwitchSynapse
forward(double[]) - Method in class org.joone.io.StreamInputSynapse
forward(double[]) - Method in class org.joone.io.StreamOutputSynapse
forward(double[]) - Method in class org.joone.net.NestedNeuralLayer
forward(double[]) - Method in class org.joone.structure.PatternForwardedSynapse
freq_conv - Variable in class org.joone.io.YahooFinanceInputSynapse
frequency - Variable in class org.joone.io.YahooFinanceInputSynapse
FreudRuleFullSynapse - Class in org.joone.engine
FreudRuleFullSynapse() - Constructor for class org.joone.engine.FreudRuleFullSynapse
FullSynapse - Class in org.joone.engine
FullSynapse() - Constructor for class org.joone.engine.FullSynapse
funcDelta(int, int, int) - Method in class org.joone.util.DeltaNormPlugIn
  Calculates f(i,delay) used by getDelta >>>> This method can be overriden in order to implement different volatility window algorithms
fwdGet() - Method in class org.joone.engine.BufferedSynapse
  Return the first element of the FIFO structure, if exists.
fwdGet() - Method in interface org.joone.engine.InputPatternListener
  Returns the pattern coming from the previous layer during the recall phase
fwdGet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Here, it forwards (returns) the pushed error (in FIFO order).
fwdGet() - Method in class org.joone.engine.learning.ComparisonSynapse
fwdGet() - Method in class org.joone.engine.Synapse
fwdGet() - Method in class org.joone.io.InputSwitchSynapse
  Returns the pattern coming from the previous layer during the recall phase
fwdGet(InputConnector) - Method in class org.joone.io.InputSwitchSynapse
  Returns the pattern coming from the previous layer during the recall phase.
fwdGet() - Method in class org.joone.io.MultipleInputSynapse
fwdGet(InputConnector) - Method in class org.joone.io.MultipleInputSynapse
fwdGet() - Method in class org.joone.io.StreamInputSynapse
fwdGet(InputConnector) - Method in class org.joone.io.StreamInputSynapse
  This method is called by the InputConnector in order to get the next input pattern available for that connector
fwdGet() - Method in class org.joone.util.LearningSwitch
  Connects the right input synapse depending on the Monitor's 'validation' parameter
fwdGet(InputConnector) - Method in class org.joone.util.LearningSwitch
  Connects the right input synapse depending on the Monitor's 'validation' parameter.
fwdLock - Variable in class org.joone.engine.Synapse
fwdPut(Pattern) - Method in class org.joone.engine.BufferedSynapse
  Writes the input pattern into the FIFO structure.
fwdPut(Pattern) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
fwdPut(Pattern) - Method in class org.joone.engine.learning.ComparingSynapse
fwdPut(Pattern) - Method in class org.joone.engine.learning.ComparisonSynapse
fwdPut(Pattern) - Method in class org.joone.engine.learning.TeacherSynapse
fwdPut(Pattern) - Method in class org.joone.engine.learning.TeachingSynapse
fwdPut(Pattern) - Method in interface org.joone.engine.OutputPatternListener
  Method to put a pattern forward to the next layer
fwdPut(Pattern) - Method in class org.joone.engine.OutputSwitchSynapse
  Method to put a pattern forward to the next layer
fwdPut(Pattern) - Method in class org.joone.engine.Synapse
fwdPut(Pattern) - Method in class org.joone.io.StreamOutputSynapse
  The standard fwdPut method.
fwdPut(Pattern) - Method in class org.joone.structure.PatternForwardedSynapse
fwdRun(Pattern) - Method in class org.joone.engine.Layer
  Implementation code for the single-thread version of Joone /********************************************************* /** This method serves to a single forward step when the Layer is called from an external thread
fwdRun(Pattern) - Method in class org.joone.net.NestedNeuralLayer

## G

GaussianLayer - Class in org.joone.engine
  This layer implements the Gaussian Neighborhood SOM strategy.
GaussianLayer() - Constructor for class org.joone.engine.GaussianLayer
  The default constructor for this GaussianLayer.
GaussianLayer(String) - Constructor for class org.joone.engine.GaussianLayer
  The constructor that takes a name of the layer.
GaussianLayerBeanInfo - Class in org.joone.engine
GaussianLayerBeanInfo() - Constructor for class org.joone.engine.GaussianLayerBeanInfo
GaussianSpatialMap - Class in org.joone.engine
  This class implements the SpatialMap interface providing a circular spatial map for use with the GaussianLayer and Kohonen Networks.
GaussianSpatialMap() - Constructor for class org.joone.engine.GaussianSpatialMap
  Creates a new instance of CircularSpatialMap
GaussLayer - Class in org.joone.engine
  The output of a Gauss(ian) layer neuron is the sum of the weighted input values, applied to a gaussian curve (`exp(- x * x)`).
GaussLayer() - Constructor for class org.joone.engine.GaussLayer
  Creates a new instance of GaussLayer
GaussLayer(String) - Constructor for class org.joone.engine.GaussLayer
  Creates a new instance of GaussLayer
getActiveInput() - Method in class org.joone.io.InputSwitchSynapse
  Returns the name of the actual connected input synapse
getActiveOutput() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the name of the actual connected output synapse
getActiveSynapse() - Method in class org.joone.engine.OutputSwitchSynapse
  Getter for property activeSynapse.
getActiveSynapse() - Method in class org.joone.io.InputSwitchSynapse
  Getter for property activeSynapse.
getAdvancedColumnSelector() - Method in class org.joone.io.InputSwitchSynapse
getAdvancedColumnSelector() - Method in class org.joone.io.StreamInputSynapse
getAdvancedMovAvgSpec() - Method in class org.joone.util.MovingAveragePlugIn
  Gets the Moving Average value/s requested by the user.
getAdvancedSerieSelector() - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the AdvancedSerieSelector.
getAllInputs() - Method in class org.joone.engine.Layer
  Returns the vector of the input listeners
getAllInputs() - Method in interface org.joone.engine.NeuralLayer
  Returns the vector of the input listeners
getAllInputs() - Method in class org.joone.io.InputSwitchSynapse
getAllInputs() - Method in class org.joone.net.NestedNeuralLayer
getAllInputs() - Method in class org.joone.net.NeuralNet
getAllOutputs() - Method in class org.joone.engine.Layer
  Returns the vector of the output listeners
getAllOutputs() - Method in interface org.joone.engine.NeuralLayer
  Returns the vector of the input listeners
getAllOutputs() - Method in class org.joone.engine.OutputSwitchSynapse
getAllOutputs() - Method in class org.joone.net.NestedNeuralLayer
getAllOutputs() - Method in class org.joone.net.NeuralNet
getAllPatterns() - Method in class org.joone.io.MemoryOutputSynapse
  Waits for the stopPattern and then returns all the patterns received in the last cycle
getAllPlugInListeners() - Method in class org.joone.io.StreamInputSynapse
  Gets all the plug-in listeners.
getArray() - Method in class org.joone.engine.Pattern
getAvailableSheetList() - Method in class org.joone.io.XLSInputSynapse
  Gets a list of available sheets from the XLS file.
getAvailableSheetList() - Method in class org.joone.io.XLSOutputSynapse
  Obtains a list of available sheet names from the XLS file.
getBatchSize() - Method in class org.joone.engine.BatchLearner
  Deprecated. use monitor.getBatchSize()
getBatchSize() - Method in class org.joone.engine.extenders.BatchModeExtender
  Deprecated. use monitor.getBatchSize()
getBatchSize() - Method in class org.joone.engine.Monitor
  Getter for the property BatchSize
getBatchSize() - Method in class org.joone.engine.RpropParameters
  Gets the batchsize.
getBeanDescriptor() - Method in class org.joone.engine.DelayLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.GaussianLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.LayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.LinearLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.MatrixBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.MemoryLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.MonitorBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.PatternBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.SimpleLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.SynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.TanhLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.engine.WTALayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.FileInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.InputConnectorBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.URLInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.net.NeuralNetBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.ConverterPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.LearningSwitchBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.MonitorPluginBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.ShufflePluginBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeanDescriptor() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  Gets the bean's `BeanDescriptor`s.
getBeta() - Method in class org.joone.engine.ContextLayer
  Getter for property beta.
getBeta() - Method in class org.joone.engine.LinearLayer
  Returns the value of the beta parameter
getBias() - Method in class org.joone.engine.Layer
  Return the bias matrix
getBias() - Method in interface org.joone.engine.NeuralLayer
  Return the bias matrix
getBias() - Method in class org.joone.net.NestedNeuralLayer
getBias() - Method in class org.joone.net.NeuralNet
getBinary(double) - Method in class org.joone.util.ToBinaryPlugin
  Converts a number to a binary number (the part after the .
getColourMode() - Method in class org.joone.io.ImageInputSynapse
getColourMode() - Method in class org.joone.io.ImageOutputSynapse
  Determines if this synapse is in colour mode. false if in grey scale mode.
getComponent() - Method in class org.joone.inspection.implementations.BiasInspection
getComponent() - Method in class org.joone.inspection.implementations.InputsInspection
getComponent() - Method in class org.joone.inspection.implementations.WeightsInspection
getComponent() - Method in interface org.joone.inspection.Inspection
  Method to get the inspectable values of the Inspectable class.
getCount() - Method in class org.joone.engine.Pattern
getCurrentCicle() - Method in class org.joone.engine.Monitor
  Returns the current epoch
getCurrentGaussianSize() - Method in class org.joone.engine.SpatialMap
  Gets the current gaussian size of the spatial neighborhood.
getCurrentRow() - Method in class org.joone.io.StreamInputSynapse
  Getter for property currentRow.
getCycles() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Gets the number of cycles over which convergence is checked.
getCycles() - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
  Gets the number of cycles over which convergence is checked.
getDataMax() - Method in class org.joone.util.NormalizerPlugIn
  Gets the max value of the input data Creation date: (23/10/2000 23.25.55)
getDataMin() - Method in class org.joone.util.NormalizerPlugIn
  Gets the min value of the input data Creation date: (23/10/2000 23.25.32)
getDateEnd() - Method in class org.joone.io.YahooFinanceInputSynapse
  Deprecated. Use getEndDate instead
getDateStart() - Method in class org.joone.io.YahooFinanceInputSynapse
  Deprecated. Use getStartDate instead
getdbURL() - Method in class org.joone.io.JDBCInputSynapse
  Gets the name of the database Universal Resource Location (URL)
getdbURL() - Method in class org.joone.io.JDBCOutputSynapse
  Gets the name of the database Universal Resource Location (URL)
getDecay() - Method in class org.joone.engine.extenders.WeightDecayExtender
  Gets the decay parameter.
getDecimalPoint() - Method in class org.joone.io.ImageInputTokenizer
getDecimalPoint() - Method in interface org.joone.io.InputSynapse
getDecimalPoint() - Method in class org.joone.io.MemoryInputTokenizer
getDecimalPoint() - Method in interface org.joone.io.PatternTokenizer
getDecimalPoint() - Method in class org.joone.io.StreamInputSynapse
  Returns the decimal point accepted (19/04/00 0.23.56)
getDecimalPoint() - Method in class org.joone.io.StreamInputTokenizer
getDecimalPoint() - Method in class org.joone.io.XLSInputTokenizer
getDefaultDelta(double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the default (normal calculation of) delta.
getDefaultDelta(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the default (normal calculation of) delta.
getDefaultEventIndex() - Method in class org.joone.engine.DelayLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.GaussianLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.LayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.LinearLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.MatrixBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.MemoryLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.MonitorBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.PatternBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.SimpleLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.SynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.TanhLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.engine.WTALayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.FileInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.InputConnectorBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.URLInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.net.NeuralNetBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.ConverterPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.LearningSwitchBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.MonitorPluginBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.ShufflePluginBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultEventIndex() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  A bean may have a "default" event that is the event that will mostly commonly be used by human's when using the bean.
getDefaultGradientBias(double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the default (normal calculation of the) gradient for biases.
getDefaultGradientWeight(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the default (normal calculation of the) gradient for weights.
getDefaultInput() - Method in class org.joone.io.InputSwitchSynapse
  Returns the name of the default input synapse that is connected when the reset method is called
getDefaultOutput() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the name of the default output synapse that is connected when the reset method is called
getDefaultPropertyIndex() - Method in class org.joone.engine.DelayLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.GaussianLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.LayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.LinearLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.MatrixBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.MemoryLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.MonitorBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.PatternBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.SimpleLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.SynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.TanhLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.engine.WTALayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.FileInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.InputConnectorBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.URLInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.net.NeuralNetBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.ConverterPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.LearningSwitchBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.MonitorPluginBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.ShufflePluginBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultPropertyIndex() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  A bean may have a "default" property that is the property that will mostly commonly be initially chosen for update by human's who are customizing the bean.
getDefaultSynapse() - Method in class org.joone.engine.OutputSwitchSynapse
  Getter for property defaultSynapse.
getDefaultSynapse() - Method in class org.joone.io.InputSwitchSynapse
  Getter for property defaultSynapse.
getDelta(double[], int) - Method in class org.joone.engine.ExtendableLearner
  Computes the delta value for a bias.
getDelta(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner
  Computes the delta value for a weight.
getDelta(double[], int, double) - Method in class org.joone.engine.extenders.DeltaRuleExtender
  Computes the delta value for a bias.
getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.DeltaRuleExtender
  Computes the delta value for a weight.
getDelta(double[], int, double) - Method in class org.joone.engine.extenders.MomentumExtender
getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.MomentumExtender
getDelta(double[], int, double) - Method in class org.joone.engine.extenders.RpropExtender
getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.RpropExtender
getDelta(double[], int, double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
getDelta(double[], int, double) - Method in class org.joone.engine.extenders.WeightDecayExtender
getDelta(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.WeightDecayExtender
getDelta() - Method in class org.joone.engine.Matrix
  Gets `delta[][]`.
getDelta(int, int, int, boolean) - Method in class org.joone.util.DeltaNormPlugIn
getDescriptor() - Method in class org.joone.net.NeuralNet
getDesired() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Gets the stream to read the desired output.
getDesired() - Method in interface org.joone.engine.learning.ComparingElement
  Getter for the desired data set
getDesired() - Method in class org.joone.engine.learning.ComparingSynapse
  Insert the method's description here.
getDesired() - Method in class org.joone.engine.learning.ComparisonSynapse
  Inserire qui la descrizione del metodo.
getDesired() - Method in class org.joone.engine.learning.TeachingSynapse
  Insert the method's description here.
getDesiredHeight() - Method in class org.joone.io.ImageInputSynapse
getDesiredWidth() - Method in class org.joone.io.ImageInputSynapse
getDimension() - Method in class org.joone.engine.Layer
  Returns the number of neurons contained in the layer
getDimension() - Method in class org.joone.engine.MemoryLayer
getDistance(Pattern, Pattern) - Method in class org.joone.util.RbfRandomCenterSelector
  Gets the distance between two centers.
getdriverName() - Method in class org.joone.io.JDBCInputSynapse
  Gets the name of the database jdbc driver used by this JDBC input syanpse.
getdriverName() - Method in class org.joone.io.JDBCOutputSynapse
  Gets the name of the database jdbc driver used by this JDBC input syanpse.
getEmbeddedNet() - Method in class org.joone.net.NestedNeuralLayer
getEnabled() - Method in class org.joone.engine.Matrix
  Gets `enabled`.
getEndDate() - Method in class org.joone.io.YahooFinanceInputSynapse
getEpsilon() - Method in class org.joone.structure.Nakayama
  Gets epsilon, the threshold to decide if a neuron should be deleted or not.
getErrorLevel() - Method in class org.joone.engine.listeners.ErrorBasedTerminator
  Gets the error level.
getEtaDec() - Method in class org.joone.engine.RpropParameters
  Gets the decremental learning factor/rate.
getEtaInc() - Method in class org.joone.engine.RpropParameters
  Gets the incremental learning factor/rate.
getEventSetDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.LayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.MatrixBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.MonitorBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.PatternBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.SynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getEventSetDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  Gets the bean's `EventSetDescriptor`s.
getFifo() - Method in class org.joone.io.StreamOutputSynapse
  Getter for property fifo.
getFileFilter() - Method in class org.joone.io.ImageInputSynapse
getFileName() - Method in class org.joone.io.FileInputSynapse
  Deprecated. use getInputFile instead
getFileName() - Method in class org.joone.io.FileOutputSynapse
  Inserire qui la descrizione del metodo.
getFileName() - Method in class org.joone.io.XLSInputSynapse
  Deprecated. use getInputFile instead
getFileName() - Method in class org.joone.io.XLSOutputSynapse
  Returns the XLS file name used by this synapse.
getFilename() - Method in class org.joone.util.SnapshotRecorder
  Get the name of the file to which snapshots will be written.
getFirstCol() - Method in interface org.joone.io.InputSynapse
getFirstCol() - Method in class org.joone.io.StreamInputSynapse
  Deprecated.
getFirstRow() - Method in class org.joone.io.InputSwitchSynapse
getFirstRow() - Method in interface org.joone.io.InputSynapse
getFirstRow() - Method in class org.joone.io.StreamInputSynapse
getFixed() - Method in class org.joone.engine.Matrix
  Gets `fixed[][]`.
getFlatSpotConstant() - Method in class org.joone.engine.SigmoidLayer
  Gets the flat spot constant.
getFlatSpotConstant() - Method in class org.joone.engine.TanhLayer
  Gets the flat spot constant.
getFormat() - Method in class org.joone.util.SnapshotRecorder
  Get the format used for snapshots.
getFwdLock() - Method in class org.joone.engine.Synapse
  Getter for property fwdLock.
getGamma(int, int, int, int) - Method in class org.joone.structure.Nakayama
  Gets gammajj' (is equal to gammaj'j).
getGaussianParameters() - Method in class org.joone.engine.RbfGaussianLayer
  Gets the parameters that define the Gaussian RBFs.
getGaussianParameters() - Method in class org.joone.util.RbfRandomCenterSelector
  Gets the parameters for the different nodes in a RBF layer.
getGlobalError() - Method in class org.joone.engine.Monitor
  Returns the actual (R)MSE of the NN
getGradientBias(double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the gradient for biases.
getGradientBias(double[], int, double) - Method in class org.joone.engine.extenders.GradientExtender
  Computes the gradient value for a bias.
getGradientWeight(double[], int, double[], int) - Method in class org.joone.engine.ExtendableLearner
  Gets the gradient for weights.
getGradientWeight(double[], int, double[], int, double) - Method in class org.joone.engine.extenders.GradientExtender
  Computes the gradient value for a weight.
getHeight() - Method in class org.joone.io.ImageOutputSynapse
  Gets the desired height of the generated image files.
getIgnoreBefore() - Method in class org.joone.engine.Synapse
  Returns the number of the ignored cycles at beginning of each epoch.
getImageDirectory() - Method in class org.joone.io.ImageInputSynapse
getImageFileType() - Method in class org.joone.io.ImageOutputSynapse
  Obtains the image type JPG = 1, GIF = 2, PNG = 3 of the format of the output files.
getInDataMax() - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Gets the max value of the input data set
getInDataMin() - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Gets the min value of the input data set
getInitialDelta(int, int) - Method in class org.joone.engine.RpropParameters
  Gets the initial delta value.
getInitialGaussianSize() - Method in class org.joone.engine.GaussianLayer
  Getter for property initialGaussianSize.
getInitialGaussianSize() - Method in class org.joone.engine.SpatialMap
  Gets the size of the spatial neighborhood.
getInput(String) - Method in class org.joone.io.StreamInputFactory
getInputDimension() - Method in interface org.joone.engine.LearnableSynapse
getInputDimension() - Method in class org.joone.engine.learning.ComparingSynapse
  getInputDimension method comment.
getInputDimension() - Method in class org.joone.engine.learning.TeachingSynapse
  getInputDimension method comment.
getInputDimension() - Method in interface org.joone.engine.OutputPatternListener
  Returns the dimension of the output synapse
getInputDimension() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the dimension of the output synapse
getInputDimension() - Method in class org.joone.engine.Synapse
  Returns the input dimension of the synapse.
getInputFile() - Method in class org.joone.io.FileInputSynapse
getInputFile() - Method in class org.joone.io.XLSInputSynapse
getInputLayer() - Method in class org.joone.net.NeuralNet
  Returns the input layer of the network.
getInputPatterns() - Method in class org.joone.io.StreamInputSynapse
  Getter for property inputPatterns.
getInputSynapse(String) - Method in class org.joone.io.InputSwitchSynapse
getInputVector() - Method in class org.joone.io.StreamInputSynapse
getInputVector() - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the input vector of `Patterns` with which this converter must process.
getInspections() - Method in class org.joone.io.InputSwitchSynapse
getK() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Gets the noise decay constant.
getKeys() - Method in class org.joone.engine.Monitor
  Return all the keys of the parameters contained in this Monitor.
getKeys() - Method in class org.joone.net.NeuralNet
  Return all the keys of the parameters contained in the net.
getLargestDimension() - Method in class org.joone.engine.GaussianLayer
  Gets the largest layer dimension size.
getLastCol() - Method in interface org.joone.io.InputSynapse
getLastCol() - Method in class org.joone.io.StreamInputSynapse
  Deprecated.
getLastEpoch() - Method in class org.joone.net.NeuralNetAttributes
getLastOutputs() - Method in class org.joone.engine.Layer
  Gets the values lastly outputed by the neurons of this layer.
getLastPattern() - Method in class org.joone.io.MemoryOutputSynapse
  This method waits for the zeroPattern and returns the last valid pattern received
getLastRow() - Method in class org.joone.io.InputSwitchSynapse
getLastRow() - Method in interface org.joone.io.InputSynapse
getLastRow() - Method in class org.joone.io.StreamInputSynapse
getLayer() - Method in class org.joone.engine.AbstractLearner
  Gets the layer the learner is associated with.
getLayer(String) - Method in class org.joone.net.NeuralNet
getLayerDepth() - Method in class org.joone.engine.GaussianLayer
  Getter for property LayerDepth.
getLayerDepth() - Method in class org.joone.engine.WTALayer
  Getter for property LayerDepth.
getLayerHeight() - Method in class org.joone.engine.GaussianLayer
  Getter for property LayerHeight.
getLayerHeight() - Method in class org.joone.engine.WTALayer
  Getter for property LayerHeight.
getLayerName() - Method in class org.joone.engine.Layer
  Returns the name of the layer
getLayerName() - Method in interface org.joone.engine.NeuralLayer
  Returns the name of the layer
getLayerName() - Method in class org.joone.net.NestedNeuralLayer
getLayerName() - Method in class org.joone.net.NeuralNet
getLayers() - Method in class org.joone.net.NeuralNet
getLayerWidth() - Method in class org.joone.engine.GaussianLayer
  Getter for property LayerWidth.
getLayerWidth() - Method in class org.joone.engine.WTALayer
  Getter for property LayerWidth.
getLearner() - Method in class org.joone.engine.BiasedLinearLayer
  Deprecated. - Used only for backward compatibility
getLearner() - Method in class org.joone.engine.extenders.LearnerExtender
  Gets the learner this object is extending.
getLearner() - Method in class org.joone.engine.FullSynapse
  Deprecated. - Used only for backward compatibility
getLearner() - Method in class org.joone.engine.KohonenSynapse
  Deprecated. - Used only for backward compatibility
getLearner() - Method in class org.joone.engine.Layer
  Returns the appropriate Learner object for this class depending on the Monitor.learningMode property value
getLearner() - Method in interface org.joone.engine.Learnable
getLearner(Monitor) - Method in interface org.joone.engine.LearnerFactory
  Gets a learner for a synapse or layer.
getLearner() - Method in class org.joone.engine.LogarithmicLayer
  Deprecated. - Used only for backward compatibility
getLearner(int) - Method in class org.joone.engine.Monitor
  Getter for the Learner declared at position 'index'
getLearner() - Method in class org.joone.engine.Monitor
  Gets a learner for a synapse or layer.
getLearner() - Method in class org.joone.engine.SangerSynapse
  Deprecated. - Used only for backward compatibility
getLearner() - Method in class org.joone.engine.SigmoidLayer
  Deprecated. - Used only for backward compatibility
getLearner() - Method in class org.joone.engine.Synapse
  Returns the appropriate Learner object for this class depending on the Monitor.learningMode property value
getLearner() - Method in class org.joone.engine.TanhLayer
  Deprecated. - Used only for backward compatibility
getLearners() - Method in class org.joone.engine.Monitor
  Getter for property learners.
getLearningMode() - Method in class org.joone.engine.Monitor
  Getter for property learningMode.
getLearningRate(int) - Method in class org.joone.engine.ExtendableLearner
  Gets the learning rate.
getLearningRate(int, int) - Method in class org.joone.engine.ExtendableLearner
  Gets the learning rate.
getLearningRate() - Method in interface org.joone.engine.LearnableSynapse
getLearningRate() - Method in class org.joone.engine.Monitor
  Returns the learning rate
getLearningRate() - Method in class org.joone.engine.SimpleLayer
  Returns the value of the learning rate of the Layer
getLearningRate() - Method in class org.joone.engine.Synapse
  Returns the value of the learning rate
getLearningRateFinal() - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
getLearningRateInitial() - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
getLineno() - Method in class org.joone.io.ImageInputTokenizer
  Return the current line number.
getLineno() - Method in class org.joone.io.MemoryInputTokenizer
  Return the current line number.
getLineno() - Method in interface org.joone.io.PatternTokenizer
  Return the current line number.
getLineno() - Method in class org.joone.io.StreamInputTokenizer
  Return the current line number.
getLineno() - Method in class org.joone.io.XLSInputTokenizer
getListeners() - Method in class org.joone.net.NeuralNet
getLocalizedMessage() - Method in exception org.joone.exception.JooneRuntimeException
getLogger(Class) - Static method in class org.joone.log.LoggerFactory
  Method to get the Logger to use to print out the log messages.
getLowerBit() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Gets the lower bit value.
getLowerBit() - Method in class org.joone.util.ToBinaryPlugin
  Gets the value used for the lower bit.
getLowerBitPercentage() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Gets the lower bit percentage.
getLowerBound() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Gets the lower bound.
getLowerBound() - Method in class org.joone.engine.weights.RandomWeightInitializer
  Gets the lower bound.
getLrate() - Method in class org.joone.engine.SimpleLayer
  Needed for Save As XML
getM_cols() - Method in class org.joone.engine.Matrix
  Gets `m_cols`.
getM_rows() - Method in class org.joone.engine.Matrix
  Gets `m_rows`.
getMacro(String) - Method in class org.joone.script.MacroManager
getMacroManager() - Method in interface org.joone.script.MacroInterface
  Getter for property macroManager.
getMacroManager() - Method in class org.joone.util.GroovyMacroPlugin
  Getter for property macroManager.
getMacroManager() - Method in class org.joone.util.MacroPlugin
  Getter for property macroManager.
getMacroPlugin() - Method in class org.joone.net.NeuralNet
  Getter for property macroPlugin.
getMacros() - Method in class org.joone.script.MacroManager
  Getter for property macros.
getMapDepth() - Method in class org.joone.engine.SpatialMap
  Gets the depth of this spatial map.
getMapHeight() - Method in class org.joone.engine.SpatialMap
  Gets the height of this spatial map.
getMapWidth() - Method in class org.joone.engine.SpatialMap
  Gets the width of this spatial map.
getMax() - Method in class org.joone.util.NormalizerPlugIn
  Gets the max value Creation date: (23/10/2000 23.25.55)
getMaxBufSize() - Method in class org.joone.io.StreamInputSynapse
  Getter for property maxBufSize.
getMaxDelta() - Method in class org.joone.engine.RpropParameters
  Gets the maximum allowed delta value.
getMaxDistance(Vector, int[]) - Method in class org.joone.util.RbfRandomCenterSelector
  Gets the maximum distance between centers.
getMean() - Method in class org.joone.engine.RbfGaussianParameters
  Gets the mean (center) of the Gaussian RBF.
getMessage() - Method in exception org.joone.exception.JooneRuntimeException
getMessage() - Method in class org.joone.net.NetCheck
  Getter for the error message
getMethodDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.LayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.MatrixBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.MonitorBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.PatternBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.SynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMethodDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  Gets the bean's `MethodDescriptor`s.
getMin() - Method in class org.joone.util.NormalizerPlugIn
  Gets the min value Creation date: (23/10/2000 23.25.32)
getMinChangePercentage() - Method in class org.joone.util.MinMaxExtractorPlugIn
  Get the min percentage of change accepted to consider a point as a turning point (29/09/00 18.46.53)
getMinCorrelation(int, int) - Method in class org.joone.structure.Nakayama
  Gets the minimum correlation for a certain neuron j.
getMinDelta() - Method in class org.joone.engine.RpropParameters
  Gets the minimum allowed delta value.
getMomentum() - Method in interface org.joone.engine.LearnableSynapse
getMomentum() - Method in class org.joone.engine.Monitor
  Returns the momentum
getMomentum() - Method in class org.joone.engine.SimpleLayer
  Returns the value of the momentum of the Layer
getMomentum() - Method in class org.joone.engine.Synapse
  Returns the value of the momentum
getMomentumFinal() - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
getMomentumInitial() - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
getMonitor() - Method in class org.joone.engine.AbstractLearner
  Gets the monitor object.
getMonitor() - Method in class org.joone.engine.Layer
  Returns the monitor object
getMonitor() - Method in interface org.joone.engine.Learnable
getMonitor() - Method in class org.joone.engine.learning.ComparingSynapse
  Insert the method's description here.
getMonitor() - Method in class org.joone.engine.learning.TeachingSynapse
  Insert the method's description here.
getMonitor() - Method in interface org.joone.engine.NeuralElement
  Returns the monitor
getMonitor() - Method in interface org.joone.engine.NeuralLayer
  Returns the monitor object
getMonitor() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the monitor
getMonitor() - Method in class org.joone.engine.Synapse
  Returns the Monitor object attached to the synapse
getMonitor() - Method in class org.joone.io.InputSwitchSynapse
  Returns the monitor
getMonitor() - Method in class org.joone.net.NestedNeuralLayer
getMonitor() - Method in class org.joone.net.NeuralNet
getN() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Gets the constant controlling the initial noise.
getName() - Method in class org.joone.engine.learning.ComparingSynapse
getName() - Method in class org.joone.engine.learning.TeachingSynapse
getName() - Method in interface org.joone.engine.NeuralElement
  Returns the name of the output synapse
getName() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the name of the output synapse
getName() - Method in class org.joone.engine.Synapse
  Returns the name of the synapse
getName() - Method in class org.joone.io.InputSwitchSynapse
  Returns the name of the input synapse
getName() - Method in class org.joone.script.JooneMacro
  Getter for property name.
getName() - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the name of this plug-in object.
getName() - Method in class org.joone.util.MonitorPlugin
  Getter for property name.
getNames() - Method in class org.joone.inspection.implementations.BiasInspection
getNames() - Method in class org.joone.inspection.implementations.InputsInspection
getNames() - Method in class org.joone.inspection.implementations.WeightsInspection
getNames() - Method in interface org.joone.inspection.Inspection
  Method to get the names of each column
getNestedNeuralNet() - Method in class org.joone.net.NestedNeuralLayer
  Getter for property NestedNeuralNet.
getNeuralNet() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Gets the neural net that is being checked for convergence.
getNeuralNet() - Method in class org.joone.engine.NeuralNetEvent
  Getter for the NeuralNet generating this event.
getNeuralNet() - Method in class org.joone.net.NestedNeuralLayer
getNeuralNet() - Method in class org.joone.net.NeuralNetLoader
getNeuralNet() - Method in class org.joone.net.NeuralNetValidator
  Gets the network to validate (or has been validated).
getNeuralNet() - Method in class org.joone.util.MonitorPlugin
getNeuralNetName() - Method in class org.joone.net.NeuralNetAttributes
  Getter for property neuralNetName.
getNextPattern() - Method in class org.joone.io.MemoryOutputSynapse
  Waits for the next pattern and returns it
getNextPlugIn() - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the next converter plug-in within this cascading series of plug-ins.
getNnet() - Method in class org.joone.util.NeuralNetRunner
getNumberOfPatterns(StreamInputSynapse) - Method in class org.joone.io.MultipleInputSynapse
  Gets (finds out) how many patters an input synpase holds.
getNumericVersion() - Static method in class org.joone.net.NeuralNet
  Method to get the numeric version.
getNumOfPatterns() - Method in class org.joone.engine.Monitor
getNumOfstepCounters() - Method in class org.joone.net.NeuralNet
getNumTokens() - Method in class org.joone.io.ImageInputTokenizer
  Gets the number of tokens on the current line.
getNumTokens() - Method in class org.joone.io.MemoryInputTokenizer
getNumTokens() - Method in interface org.joone.io.PatternTokenizer
getNumTokens() - Method in class org.joone.io.StreamInputTokenizer
getNumTokens() - Method in class org.joone.io.XLSInputTokenizer
getOrderedLayers() - Method in class org.joone.net.NeuralNet
getOrderingPhase() - Method in class org.joone.engine.GaussianLayer
  Getter for property orderingPhase.
getOrderingPhase() - Method in class org.joone.engine.KohonenSynapse
  Getter for property orderingPhase.
getOrderingPhase() - Method in class org.joone.engine.SpatialMap
  Getter for property orderingPhase.
getOutArray() - Method in class org.joone.engine.Pattern
  Getter for property outArray.
getOutDataMax() - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Gets the max output value
getOutDataMin() - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Gets the min output value
getOutputDimension() - Method in interface org.joone.engine.InputPatternListener
  Returns the dimension of the input synapse
getOutputDimension() - Method in interface org.joone.engine.LearnableSynapse
getOutputDimension() - Method in class org.joone.engine.learning.ComparisonSynapse
  Returns the output dimension of the synapse.
getOutputDimension() - Method in class org.joone.engine.Synapse
  Returns the output dimension of the synapse.
getOutputDimension() - Method in class org.joone.io.InputSwitchSynapse
  Returns the dimension of the input synapse
getOutputDirectory() - Method in class org.joone.io.ImageOutputSynapse
  Gets the directory where Image files will be created.
getOutputLayer() - Method in class org.joone.net.NeuralNet
  Returns the output layer of the network.
getOutputSynapse(String) - Method in class org.joone.engine.OutputSwitchSynapse
getParam(String) - Method in class org.joone.engine.Monitor
  Gets a custom parameter from the Monitor.
getParam(String) - Method in class org.joone.net.NeuralNet
  Gets a custom parameter from the neural net.
getParameters() - Method in class org.joone.engine.extenders.RpropExtender
  Gets the parameters of this learning algorithm.
getParameters() - Method in class org.joone.engine.RpropLearner
getParent() - Method in class org.joone.engine.Monitor
  Getter for property parent.
getPattern() - Method in class org.joone.util.OutputConverterPlugIn
  Gets the pattern that will be converted.
getPercentage() - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
  Gets the percentage.
getPeriod() - Method in class org.joone.io.YahooFinanceInputSynapse
  Gets the period for data retrieval.
getPlugIn() - Method in class org.joone.io.InputSwitchSynapse
getPlugIn() - Method in class org.joone.io.StreamInputSynapse
  Gets the attached ConverterPlugin, if any
getPlugIn() - Method in class org.joone.io.StreamOutputSynapse
getPluginListeners() - Method in class org.joone.util.AbstractConverterPlugIn
  Gets a vector of all the `PlugInListener`s that have been registerd to receive events from this plug-in.
getPreLearning() - Method in class org.joone.engine.Monitor
  Returns the initial ignored input patterns (during the training phase)
getPropertyDescriptors() - Method in class org.joone.engine.DelayLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.GaussianLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.KohonenSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.LayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.learning.ComparingSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.learning.TeacherSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.learning.TeachingSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.LinearLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.MatrixBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.MemoryLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.MonitorBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.OutputSwitchSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.PatternBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.SimpleLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.SynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.TanhLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.engine.WTALayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.FileInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.FileOutputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.ImageInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.ImageOutputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.InputConnectorBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.InputSwitchSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.JDBCInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.JDBCOutputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.StreamInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.StreamOutputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.URLInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.XLSInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.XLSOutputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.io.YahooFinanceInputSynapseBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.net.NestedNeuralLayerBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.net.NeuralNetBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.CenterOnZeroPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.ConverterPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.DeltaNormPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.DynamicAnnealingBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.LearningSwitchBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.MinMaxExtractorPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.MonitorPluginBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.MovingAveragePlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.NormalizerPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.OutputConverterPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.ShufflePluginBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.SnapshotRecorderBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.ToBinaryPluginBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getPropertyDescriptors() - Method in class org.joone.util.UnNormalizerOutputPlugInBeanInfo
  Gets the bean's `PropertyDescriptor`s.
getRandom() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Gets a random value between the random boundary.
getRandomBoundary() - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Gets the random number boundary.
getRate() - Method in class org.joone.util.MonitorPlugin
  Getter for property rate.
getRevLock() - Method in class org.joone.engine.Synapse
  Getter for property revLock.
getRows() - Method in class org.joone.engine.Layer
  Returns the dimension (# of neurons) of the Layer
getRows() - Method in interface org.joone.engine.NeuralLayer
  Returns the dimension (# of neurons) of the Layer
getRows() - Method in class org.joone.net.NestedNeuralLayer
getRows() - Method in class org.joone.net.NeuralNet
getRun() - Method in class org.joone.engine.Monitor
  Needed for XML saving
getSeenPatterns() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Get the value of the number of patterns seen during the current epoch.
getSeparator() - Method in class org.joone.io.StreamOutputSynapse
  Returns the column separator creation date: (23/04/00 0.50.18)
getSerieIndexNumber(int) - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the index of the current serie number.
getSerieSelected() - Method in class org.joone.util.AbstractConverterPlugIn
  Getter for property `serieSelected`.
getSeverity() - Method in class org.joone.net.NetCheck
  Getter for the error severity
getSheet(String) - Method in class org.joone.io.XLSInputSynapse
  Gets the HSSF sheet from the XLS file using the specified sheet name.
getSheetName() - Method in class org.joone.io.XLSInputSynapse
  Gets the name of the sheet within the XLS file to extract data from for input to the network.
getSheetName() - Method in class org.joone.io.XLSOutputSynapse
  Gets the name of sheet within the XLS file that data should be written to.
getSingleThread() - Method in class org.joone.net.NeuralNet
getSize() - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Gets the size (delta bound for convergence).
getSource() - Method in class org.joone.net.NetCheck
  Getter for the object that caused the error
getSpace_map() - Method in class org.joone.engine.GaussianLayer
  Getter for property space_map.
getSQLAmendment() - Method in class org.joone.io.JDBCOutputSynapse
  Gets the SQL Query used to select data from the database.
getSQLQuery() - Method in class org.joone.io.JDBCInputSynapse
  Gets the SQL Query used to select data from the database.
getStartCol(int) - Method in class org.joone.io.XLSOutputSynapse
  Gets the starting col (0 based) of the XLS sheet.
getStartDate() - Method in class org.joone.io.YahooFinanceInputSynapse
getStartRow(int) - Method in class org.joone.io.XLSOutputSynapse
  Gets the starting row (0 based) of the XLS sheet.
getStdDeviation() - Method in class org.joone.engine.RbfGaussianParameters
  Gets the standard deviation (sigma) of the Gaussian RBF.
getStep() - Method in class org.joone.engine.Monitor
  Returns the actual elaborated pattern
getStep() - Method in class org.joone.util.DynamicAnnealing
  Getter for property step.
getStockData() - Method in class org.joone.io.YahooFinanceInputSynapse
  Gets the stock data retrieived by this synapse.
getStockDates() - Method in class org.joone.io.YahooFinanceInputSynapse
  Gets the dates associated with each row of data.
getStoppedCycle() - Method in class org.joone.engine.listeners.ErrorBasedTerminator
  Gets the cycle the network was stopped.
getStream() - Method in class org.joone.io.InputConnector
getStream() - Method in class org.joone.io.StreamInputSynapse
getSumAbsoluteWeights(Layer, int) - Method in class org.joone.structure.Nakayama
  Sums up all the absolute values of the output weights of a neuron within a layer.
getSumOutputs(int, int) - Method in class org.joone.structure.Nakayama
  Sums up the (normal and absolute) values of the outputs of a neuron over all patterns.
getSymbol() - Method in class org.joone.io.YahooFinanceInputSynapse
  Gets the name of the symbol
getSynapse() - Method in class org.joone.engine.AbstractLearner
  Gets the synapse the learner is associated with.
getTags() - Method in class org.joone.util.SnapshotFormatEditor
  Get an array of legal string values.
getTaps() - Method in class org.joone.engine.DelaySynapse
  Inserire qui la descrizione del metodo.
getTaps() - Method in class org.joone.engine.MemoryLayer
  Return the taps value (06/04/00 1.08.26)
getTeacher() - Method in class org.joone.net.NeuralNet
getText() - Method in class org.joone.script.JooneMacro
  Getter for property text.
getTheComparisonSynapse() - Method in class org.joone.engine.learning.ComparingSynapse
getTheLinearLayer() - Method in interface org.joone.engine.learning.ComparingElement
  Returns the internal Layer used to transport the result to the connected output synapse
getTheLinearLayer() - Method in class org.joone.engine.learning.ComparingSynapse
getTheLinearLayer() - Method in class org.joone.engine.learning.TeachingSynapse
getTheTeacherSynapse() - Method in class org.joone.engine.learning.TeachingSynapse
getThreadMonitor() - Method in class org.joone.engine.Layer
  Getter for property myThreadMonitor.
getTimeConstant() - Method in class org.joone.engine.ContextLayer
  Getter for property timeConstant.
getTimeConstant() - Method in class org.joone.engine.GaussianLayer
  Getter for property timeConstant.
getTimeConstant() - Method in class org.joone.engine.KohonenSynapse
  Getter for property timeConstant.
getTimeConstant() - Method in class org.joone.engine.SpatialMap
  Getter for property TimeConstant.
getTitle() - Method in class org.joone.inspection.implementations.BiasInspection
getTitle() - Method in class org.joone.inspection.implementations.InputsInspection
getTitle() - Method in class org.joone.inspection.implementations.WeightsInspection
getTitle() - Method in interface org.joone.inspection.Inspection
  Method to get the title of the object for display in the InspectionFrame title bar.
getTokenAt(int) - Method in class org.joone.io.ImageInputTokenizer
  Gets the token (RGB normalised between 0 and 1) at the specified position.
getTokenAt(int) - Method in class org.joone.io.MemoryInputTokenizer
  Returns the value of the token at 'posiz' column of the current line Creation date: (17/10/2000 0.30.08)
getTokenAt(int) - Method in interface org.joone.io.PatternTokenizer
  Returns the value of the token at 'posiz' column of the current line Creation date: (17/10/2000 0.30.08)
getTokenAt(int) - Method in class org.joone.io.StreamInputTokenizer
  Insert the method's description here.
getTokenAt(int) - Method in class org.joone.io.XLSInputTokenizer
getTokens() - Method in class org.joone.io.StreamInputSynapse
  Getter for property tokens.
getTokensArray() - Method in class org.joone.io.ImageInputTokenizer
  Insert the method's description here.
getTokensArray() - Method in class org.joone.io.MemoryInputTokenizer
  Returns an array of values of the current line Creation date: (17/10/2000 0.13.45)
getTokensArray() - Method in interface org.joone.io.PatternTokenizer
  Returns an array of values of the current line Creation date: (17/10/2000 0.13.45)
getTokensArray() - Method in class org.joone.io.StreamInputTokenizer
  Insert the method's description here.
getTokensArray() - Method in class org.joone.io.XLSInputTokenizer
getTotalEpochs() - Method in class org.joone.engine.SpatialMap
  Gets the total number of epochs for the current session.
getTotCicles() - Method in class org.joone.engine.Monitor
  Returns the total number of epochs
getTrainingError() - Method in class org.joone.net.NeuralNetAttributes
  Getter for property trainingError.
getTrainingPatterns() - Method in class org.joone.engine.Monitor
  Returns the number of the input training patterns
getTrainingSet() - Method in class org.joone.util.LearningSwitch
  Getter for property trainingSet.
getUpdateWeightExtender() - Method in class org.joone.engine.ExtendableLearner
  Gets the update weight extender.
getUpperBit() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Gets the upper bit value.
getUpperBit() - Method in class org.joone.util.ToBinaryPlugin
  Gets the value used for the upper bit.
getUpperBitPercentage() - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Gets the upper bit percentage.
getUpperBound() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Gets the upper bound.
getUpperBound() - Method in class org.joone.engine.weights.RandomWeightInitializer
  Gets the upper bound.
getURL() - Method in class org.joone.io.URLInputSynapse
  Gets the URL used to extract input data from.
getValidationError() - Method in class org.joone.net.NeuralNetAttributes
  Getter for property validationError.
getValidationPatterns() - Method in class org.joone.engine.Monitor
  Returns the number of the input validation patterns
getValidationSet() - Method in class org.joone.util.LearningSwitch
  Getter for property validationSet.
getValue() - Method in class org.joone.engine.Matrix
  Gets `value[][]`.
getValuePoint(int, int) - Method in class org.joone.util.AbstractConverterPlugIn
  Gets the double value at the specified row (point) in the specifed serie / column.
getValues() - Method in class org.joone.engine.Pattern
  Getter for property values.
getVersion() - Static method in class org.joone.net.NeuralNet
  Method to get the version.
getWeightInitializer() - Method in class org.joone.engine.Matrix
  Gets the weight initializer.
getWeights() - Method in interface org.joone.engine.LearnableSynapse
getWeights() - Method in class org.joone.engine.Synapse
  Getter for the internal matrix of weights
getWidth() - Method in class org.joone.io.ImageOutputSynapse
  Gets the desired width of the generated image files.
getWinnerX() - Method in class org.joone.engine.SpatialMap
  Returns the X Co-ordinate of the current winning neuron.
getWinnerY() - Method in class org.joone.engine.SpatialMap
  Returns the Y Co-ordinate of the current winning neuron.
getWinnerZ() - Method in class org.joone.engine.SpatialMap
  Returns the Z Co-ordinate of the current winning neuron.
GIF - Variable in class org.joone.io.ImageOutputSynapse
GlobalError - Variable in class org.joone.engine.learning.TeacherSynapse
  The error being calculated for the current epoch.
Go() - Method in class org.joone.engine.Monitor
  Runs the neural net in multi-thread mode.
go(boolean, boolean) - Method in class org.joone.net.NeuralNet
  Runs the network.
go(boolean) - Method in class org.joone.net.NeuralNet
  Runs the network.
go() - Method in class org.joone.net.NeuralNet
  Runs the network in async mode (i.e. equivalent to go(false) ).
gotoFirstLine() - Method in class org.joone.io.InputSwitchSynapse
gotoFirstLine() - Method in interface org.joone.io.InputSynapse
gotoFirstLine() - Method in class org.joone.io.StreamInputSynapse
gotoLine(int) - Method in class org.joone.io.InputSwitchSynapse
  Point to the indicated line into the input stream
gotoLine(int) - Method in interface org.joone.io.InputSynapse
gotoLine(int) - Method in class org.joone.io.MultipleInputSynapse
gotoLine(int) - Method in class org.joone.io.StreamInputSynapse
  Point to the indicated line into the input stream
GradientExtender - Class in org.joone.engine.extenders
  This abstract class describes the methods needed for a gradient extender, that is, a class that computes / changes the gradient value according to some algorithm.
GradientExtender() - Constructor for class org.joone.engine.extenders.GradientExtender
  Creates a new instance of DeltaExtender
gradientInps - Variable in class org.joone.engine.Layer
  Set of input error gradient values passed to this layer from connected OutputListenrs during the learning phase.
gradientOuts - Variable in class org.joone.engine.Layer
  Set of output error gradient values passed from this layer to connected InputListenrs during the learning phase.
GroovyMacroPlugin - Class in org.joone.util
GroovyMacroPlugin() - Constructor for class org.joone.util.GroovyMacroPlugin

## H

hasErrors() - Method in class org.joone.net.NetChecker
  Method to determine whether there are validation errors in the net.
hasStepCounter() - Method in class org.joone.engine.Layer
  Determine whether this layer has an input synapse attached that is a step counter.
HIDDEN_LAYER - Static variable in class org.joone.net.NeuralNet

## I

ILogger - Interface in org.joone.log
  Interface that defines the public methods of the logger object.
ImageInputSynapse - Class in org.joone.io
  This synapse collects data from Image files or Image objects and feeds the data from the Images into the Neural network.
ImageInputSynapse() - Constructor for class org.joone.io.ImageInputSynapse
  Creates a new instance of ImageInputSynapse
ImageInputSynapseBeanInfo - Class in org.joone.io
ImageInputSynapseBeanInfo() - Constructor for class org.joone.io.ImageInputSynapseBeanInfo
ImageInputTokenizer - Class in org.joone.io
  This tokenizer is responsible for collecting data from a list of Image file names or Image objects and feeding the data from the Images into a tokenized array of values for feeding into the Neural network.
ImageInputTokenizer(int, int, Vector, boolean) - Constructor for class org.joone.io.ImageInputTokenizer
  Creates new ImageInputTokenizer
ImageInputTokenizer(int, int, Image[], boolean) - Constructor for class org.joone.io.ImageInputTokenizer
  Creates new ImageInputTokenizer
ImageOutputSynapse - Class in org.joone.io
  This class collects the output from the connected layer and places it into an image file.
ImageOutputSynapse() - Constructor for class org.joone.io.ImageOutputSynapse
  Creates a new instance of ImageOutputSynapse
ImageOutputSynapseBeanInfo - Class in org.joone.io
ImageOutputSynapseBeanInfo() - Constructor for class org.joone.io.ImageOutputSynapseBeanInfo
incSeenPatterns() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Increases the number of seen patterns by one.
info(Object) - Method in interface org.joone.log.ILogger
info(Object, Throwable) - Method in interface org.joone.log.ILogger
info(Object) - Method in class org.joone.log.JooneLogger
info(Object, Throwable) - Method in class org.joone.log.JooneLogger
info(Object) - Method in class org.joone.log.Log4JLogger
info(Object, Throwable) - Method in class org.joone.log.Log4JLogger
init() - Method in class org.joone.engine.Layer
init() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
init() - Method in class org.joone.engine.learning.ComparingSynapse
init() - Method in class org.joone.engine.learning.ComparisonSynapse
init() - Method in class org.joone.engine.learning.TeachingSynapse
init() - Method in interface org.joone.engine.NeuralElement
init() - Method in class org.joone.engine.OutputSwitchSynapse
init(int) - Method in class org.joone.engine.SpatialMap
  Initialises this spatial map according to the total number of epochs/cycles.
init() - Method in class org.joone.engine.Synapse
  Synapse's initialization.
init() - Method in class org.joone.io.InputSwitchSynapse
initialize() - Method in class org.joone.engine.Matrix
  Initializes the weights or biases by making a call to the weight initializer.
initialize(Matrix) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
initialize(Matrix) - Method in class org.joone.engine.weights.RandomWeightInitializer
  Initializes the weights or biases within the domain `[lowerBound, upperBound]`.
initialize(Matrix) - Method in interface org.joone.engine.weights.WeightInitializer
  Initializes weights (biases) represented by the matrix.
initiateNewBatch() - Method in class org.joone.engine.BatchLearner
  Deprecated. not used, the BatchModeExtender takes care of everything
initiateNewBatch() - Method in class org.joone.engine.extenders.BatchModeExtender
  Initiates a new batch (at the beginning or when the dimensions change).
initInputStream() - Method in class org.joone.io.FileInputSynapse
initInputStream() - Method in class org.joone.io.ImageInputSynapse
initInputStream() - Method in class org.joone.io.InputConnector
initInputStream() - Method in class org.joone.io.InputSwitchSynapse
initInputStream() - Method in class org.joone.io.JDBCInputSynapse
  Connects to the database using Driver name and db URL and selects data using the SQLQuery.
initInputStream() - Method in class org.joone.io.MemoryInputSynapse
initInputStream() - Method in class org.joone.io.StreamInputSynapse
initInputStream() - Method in class org.joone.io.URLInputSynapse
  Reads the data from the URL specified in this URLInputSynapse.
initInputStream() - Method in class org.joone.io.XLSInputSynapse
  Reads data from the XLS file into this synapse.
initInputStream() - Method in class org.joone.io.YahooFinanceInputSynapse
  Connects to Yahoo FInancial Services and obtains the historical data for the specifed symbol and data range.
initLearner() - Method in class org.joone.engine.Layer
  Initialize the Learner object of this layer
initLearner() - Method in interface org.joone.engine.Learnable
initLearner() - Method in class org.joone.engine.Synapse
  Initialize the Learner object
initMacro(Hashtable) - Method in class org.joone.script.MacroManager
initStream() - Method in class org.joone.io.JDBCOutputSynapse
  Connects to the database using Driver name and db URL and selects data using the SQLAmendment.
initSwitch() - Method in class org.joone.io.InputSwitchSynapse
inps - Variable in class org.joone.engine.Layer
  Set of input values passed to this layer from connected InputListeners during the recall phase.
inps - Variable in class org.joone.engine.Synapse
INPUT_LAYER - Static variable in class org.joone.net.NeuralNet
InputConnector - Class in org.joone.io
InputConnector() - Constructor for class org.joone.io.InputConnector
  Creates a new instance of InputConnector
InputConnectorBeanInfo - Class in org.joone.io
InputConnectorBeanInfo() - Constructor for class org.joone.io.InputConnectorBeanInfo
InputPatternListener - Interface in org.joone.engine
  This interface represents an input synapse for a generic layer.
inputPatternListeners - Variable in class org.joone.engine.Layer
  Contains the list of input connected listeners (InputPatternListener)
InputPluginEvent - Class in org.joone.util
  Deprecated. Use `PlugInEvent`
InputPluginEvent(AbstractConverterPlugIn) - Constructor for class org.joone.util.InputPluginEvent
  Deprecated.
InputPluginListener - Interface in org.joone.util
  Deprecated. Use `PlugInListener`
inputs - Variable in class org.joone.io.InputSwitchSynapse
InputsInspection - Class in org.joone.inspection.implementations
InputsInspection(Vector) - Constructor for class org.joone.inspection.implementations.InputsInspection
InputSwitchSynapse - Class in org.joone.io
  This class acts as a switch that can connect its output to one of its connected input synapses.
InputSwitchSynapse() - Constructor for class org.joone.io.InputSwitchSynapse
  The constructor
InputSwitchSynapseBeanInfo - Class in org.joone.io
InputSwitchSynapseBeanInfo() - Constructor for class org.joone.io.InputSwitchSynapseBeanInfo
InputSynapse - Interface in org.joone.io
InputVector - Variable in class org.joone.io.StreamInputSynapse
Inspectable - Interface in org.joone.inspection
InspectableTitle() - Method in class org.joone.engine.Layer
  Get the title for the inspectable interface
InspectableTitle() - Method in class org.joone.engine.Synapse
InspectableTitle() - Method in interface org.joone.inspection.Inspectable
  Method to get the title to show in the InspectionFrame tab.
InspectableTitle() - Method in class org.joone.io.StreamInputSynapse
Inspection - Interface in org.joone.inspection
Inspections() - Method in class org.joone.engine.ContextLayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in class org.joone.engine.DelayLayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in class org.joone.engine.GaussianLayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in class org.joone.engine.Layer
  Method to get a collection of bias inspections for this layer
Inspections() - Method in class org.joone.engine.LinearLayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in class org.joone.engine.RbfGaussianLayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in class org.joone.engine.Synapse
Inspections() - Method in class org.joone.engine.WTALayer
  It doesn't make sense to return biases for this layer
Inspections() - Method in interface org.joone.inspection.Inspectable
  Method to get a collection of inspectable objects.
Inspections() - Method in class org.joone.io.StreamInputSynapse
isAppend() - Method in class org.joone.io.FileOutputSynapse
  Getter for property append.
isApplyEveryCycle() - Method in class org.joone.util.ConverterPlugIn
  Getter for property applyEachCycle.
isBuffered() - Method in class org.joone.io.InputSwitchSynapse
  Returns if the input synapse is buffered (10/04/00 23.11.30)
isBuffered() - Method in interface org.joone.io.InputSynapse
isBuffered() - Method in class org.joone.io.StreamInputSynapse
  Checks if the input synapse is buffered or not
isBuffered() - Method in class org.joone.io.StreamOutputSynapse
  Checks the buffered status of this synapse.
isConnected() - Method in class org.joone.util.AbstractConverterPlugIn
  Getter for property connected.
isConvergence(Matrix) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Checks if the weights or biases have converged, i.e. if the delta weight update value is below size.
isEnabled() - Method in class org.joone.engine.extenders.LearnerExtender
  Checks if the learner extender is enabled.
isEnabled() - Method in class org.joone.engine.learning.ComparingSynapse
  Getter for property enabled.
isEnabled() - Method in class org.joone.engine.learning.TeachingSynapse
  Getter for property enabled.
isEnabled() - Method in interface org.joone.engine.NeuralElement
isEnabled() - Method in class org.joone.engine.OutputSwitchSynapse
  Getter for property enabled.
isEnabled() - Method in class org.joone.engine.Synapse
  Getter for property enabled.
isEOF() - Method in class org.joone.io.InputSwitchSynapse
  Returns if reached the EOF (10/04/00 23.16.20)
isEOF() - Method in interface org.joone.io.InputSynapse
isEOF() - Method in class org.joone.io.StreamInputSynapse
  Returns if reached the EOF (10/04/00 23.16.20)
isEventMacro() - Method in class org.joone.script.JooneMacro
  Getter for property system.
isEventMacro(String) - Method in class org.joone.script.MacroManager
isExporting() - Method in class org.joone.engine.Monitor
  Getter for property exporting.
isFatal() - Method in class org.joone.net.NetCheck
  Method to see if this check is a FATAL.
isFirstTime() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Checks whether it is the first time data is passed to this teacher or not.
isInputFull() - Method in interface org.joone.engine.InputPatternListener
isInputFull() - Method in class org.joone.engine.Synapse
  Getter for property inputFull.
isInputLayer() - Method in class org.joone.engine.Layer
  Determine whether this is an input layer.
isLearning() - Method in class org.joone.engine.Monitor
  Returns TRUE if the net is into a learning phase
isLearning() - Method in class org.joone.net.NestedNeuralLayer
  Getter for property learning.
isLearningCicle(int) - Method in class org.joone.engine.Monitor
  Returns the phase of the net (learning or not) for the current pattern
isLoopBack() - Method in class org.joone.engine.Synapse
  Getter for property loopBack.
isOutputFull() - Method in class org.joone.engine.learning.ComparingSynapse
  Getter for property outputFull.
isOutputFull() - Method in class org.joone.engine.learning.TeachingSynapse
  Getter for property outputFull.
isOutputFull() - Method in interface org.joone.engine.OutputPatternListener
isOutputFull() - Method in class org.joone.engine.OutputSwitchSynapse
  Getter for property outputFull.
isOutputFull() - Method in class org.joone.engine.Synapse
  Getter for property outputFull.
isOutputLayer() - Method in class org.joone.engine.Layer
  Determine whether this is an output layer.
isRunning() - Method in class org.joone.engine.Layer
  Determine whether the execution thread is running
isRunning() - Method in interface org.joone.engine.NeuralLayer
  Returns true if the layer is running
isRunning() - Method in class org.joone.net.NestedNeuralLayer
isRunning() - Method in class org.joone.net.NeuralNet
  Returns true if the network is running
isScriptingEnabled() - Method in class org.joone.net.NeuralNet
  Gets if the scripting engine is enabled
isSingleThreadMode() - Method in class org.joone.engine.Monitor
isSqrtFanIn() - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Checks if the mode of the fan-in is the square root mode, i.e. the square root of the fan-in is used or if the normal mode, i.e. the normal fan-in is used.
isStepCounter() - Method in class org.joone.io.InputSwitchSynapse
  Returns if this input layer is an active counter of the steps.
isStepCounter() - Method in interface org.joone.io.InputSynapse
  Returns true if this input layer is an active counter of the steps.
isStepCounter() - Method in class org.joone.io.StreamInputSynapse
  Returns if this input layer is an active counter of the steps.
isStopRequestPerformed() - Method in class org.joone.engine.listeners.ErrorBasedTerminator
  Checks if this object requested / stopped the neural network.
isSupervised() - Method in class org.joone.engine.Monitor
  Getter for property supervised.
isTrainingDataForValidation() - Method in class org.joone.engine.Monitor
  Getter for the property trainingDataForValidation, i.e. should the training data be used for validation.
isUseRMSE() - Method in class org.joone.engine.Monitor
  Checks if we should use RMSE (true) or MSE false.
isValidation() - Method in class org.joone.engine.Monitor
  Getter for property validation.
isWarning() - Method in class org.joone.net.NetCheck
  Method to see if this check is a WARNING.
items - Variable in class org.joone.engine.Synapse

## J

JDBCInputSynapse - Class in org.joone.io
  The JDBCInputSynapse provides support for data extraction from a database.
JDBCInputSynapse() - Constructor for class org.joone.io.JDBCInputSynapse
  Constructor for the JDBCInputSynapse object
JDBCInputSynapse(String, String, String, String, int, int, boolean) - Constructor for class org.joone.io.JDBCInputSynapse
  Constructor for the JDBCInputSynapse object that allows all options.
JDBCInputSynapseBeanInfo - Class in org.joone.io
JDBCInputSynapseBeanInfo() - Constructor for class org.joone.io.JDBCInputSynapseBeanInfo
JDBCOutputSynapse - Class in org.joone.io
  The JDBCOutputSynapse provides support for data input to a database.
JDBCOutputSynapse() - Constructor for class org.joone.io.JDBCOutputSynapse
  Constructor for the JDBCOutputSynapse object
JDBCOutputSynapse(String, String, String, boolean) - Constructor for class org.joone.io.JDBCOutputSynapse
  Constructor for the JDBCInputSynapse object that allows all options.
JDBCOutputSynapseBeanInfo - Class in org.joone.io
JDBCOutputSynapseBeanInfo() - Constructor for class org.joone.io.JDBCOutputSynapseBeanInfo
join() - Method in class org.joone.engine.Layer
  Waits for the current layer's thread to stop
join() - Method in class org.joone.net.NeuralNet
  Waits for all the termination of all running Threads
JOONE_FORMAT - Static variable in class org.joone.util.SnapshotRecorder
  The Joone snapshot format (NeuralNet serialized objects graph)
JooneException - Exception in org.joone.exception
  This is a wrapper class for the `RuntimeException` thrown by the application.
JooneException() - Constructor for exception org.joone.exception.JooneException
  Constructor for JooneRunTimeException.
JooneException(String) - Constructor for exception org.joone.exception.JooneException
  Constructor for JooneRunTimeException.
JooneGroovyScript - Class in org.joone.script
JooneGroovyScript() - Constructor for class org.joone.script.JooneGroovyScript
JooneLogger - Class in org.joone.log
  Internal logger.
JooneLogger() - Constructor for class org.joone.log.JooneLogger
  Creates a new instance of JooneLogger
JooneMacro - Class in org.joone.script
  This class represents a runnable BeanShell macro
JooneMacro() - Constructor for class org.joone.script.JooneMacro
  Creates a new instance of JooneMacro
JooneRuntimeException - Exception in org.joone.exception
  This is a wrapper class for the `Exception` thrown by the application.
JooneRuntimeException(String) - Constructor for exception org.joone.exception.JooneRuntimeException
  Constructor for JooneRuntimeException.
JooneRuntimeException(Throwable) - Constructor for exception org.joone.exception.JooneRuntimeException
  Constructor for JooneRunTimeException.
JooneRuntimeException(String, Throwable) - Constructor for exception org.joone.exception.JooneRuntimeException
  Constructor for JooneRunTimeException.
JooneScript - Class in org.joone.script
JooneScript() - Constructor for class org.joone.script.JooneScript
JPG - Variable in class org.joone.io.ImageOutputSynapse

## K

KohonenSynapse - Class in org.joone.engine
  This is an unsupervised Kohonen Synapse which is a Self Organising Map.
KohonenSynapse() - Constructor for class org.joone.engine.KohonenSynapse
  The default constructor for the KohonenSynapse class.
KohonenSynapseBeanInfo - Class in org.joone.engine
KohonenSynapseBeanInfo() - Constructor for class org.joone.engine.KohonenSynapseBeanInfo

## L

Layer - Class in org.joone.engine
  The Layer object is the basic element forming the neural net.
Layer() - Constructor for class org.joone.engine.Layer
  The empty constructor
Layer(String) - Constructor for class org.joone.engine.Layer
  Creates a named layer
LayerBeanInfo - Class in org.joone.engine
LayerBeanInfo() - Constructor for class org.joone.engine.LayerBeanInfo
learnable - Variable in class org.joone.engine.AbstractLearner
  The learnable, the object that is subjected to the learning process.
learnable - Variable in class org.joone.engine.Layer
  Contains true if for the Layer must be used a Learner instead of a built-in learning algorithm.
Learnable - Interface in org.joone.engine
learnable - Variable in class org.joone.engine.Synapse
  Contains true if for the current Synapse must be used a Learner instead of a built-in learning algorithm.
learnableLayer - Variable in class org.joone.engine.AbstractLearner
  The layer (biases) that is subjected to the learning process.
LearnableLayer - Interface in org.joone.engine
learnableSynapse - Variable in class org.joone.engine.AbstractLearner
  The synapse (weights) that is subjected to the learning process.
LearnableSynapse - Interface in org.joone.engine
Learner - Interface in org.joone.engine
LearnerExtender - Class in org.joone.engine.extenders
  This abstract class describes the methods that any learner extender must provide.
LearnerExtender() - Constructor for class org.joone.engine.extenders.LearnerExtender
LearnerFactory - Interface in org.joone.engine
  Learner factories are used to provide the synapses and layers, through the monitor object with Leaners.
learning - Variable in class org.joone.engine.Layer
  The Net's phase: false == recall; true == learning
learningMode - Variable in class org.joone.engine.Monitor
LearningSwitch - Class in org.joone.util
  This class is useful to switch the input data set of a neural network from a training set to a validation set depending on the 'validation' parameter contained in the Monitor object.
LearningSwitch() - Constructor for class org.joone.util.LearningSwitch
  Creates a new instance of LearningSwitch
LearningSwitchBeanInfo - Class in org.joone.util
LearningSwitchBeanInfo() - Constructor for class org.joone.util.LearningSwitchBeanInfo
LinearAnnealing - Class in org.joone.util
  This plugin changes linearly the values of the learning rate and of the momentum parameters.
LinearAnnealing() - Constructor for class org.joone.util.LinearAnnealing
LinearLayer - Class in org.joone.engine
  The output of a linear layer neuron is the sum of the weighted input values, scaled by the beta parameter.
LinearLayer() - Constructor for class org.joone.engine.LinearLayer
  The constructor
LinearLayer(String) - Constructor for class org.joone.engine.LinearLayer
  The constructor
LinearLayerBeanInfo - Class in org.joone.engine
LinearLayerBeanInfo() - Constructor for class org.joone.engine.LinearLayerBeanInfo
listeners - Variable in class org.joone.net.NeuralNet
log - Static variable in class org.joone.engine.learning.AbstractTeacherSynapse
  Logger
log - Static variable in class org.joone.engine.learning.FahlmanTeacherSynapse
  Logger
log - Static variable in class org.joone.engine.learning.TeacherSynapse
  Logger
Log4JLogger - Class in org.joone.log
  Logger that uses Apache's Log4J to log the messages.
Log4JLogger() - Constructor for class org.joone.log.Log4JLogger
  Creates a new instance of Log4JLogger
LogarithmicLayer - Class in org.joone.engine
  This layer implements a logarithmic transfer function.
LogarithmicLayer() - Constructor for class org.joone.engine.LogarithmicLayer
  Creates a new instance of LogarithmicLayer
LogarithmicLayer(String) - Constructor for class org.joone.engine.LogarithmicLayer
LogarithmicPlugIn - Class in org.joone.util
  logarithmic transfer (base e) input data Creation date: (22/03/2004 23.06.00)
LogarithmicPlugIn() - Constructor for class org.joone.util.LogarithmicPlugIn
  LogarithmicPlugIn constructor
LoggerFactory - Class in org.joone.log
  Class used to decouple the engine's logging requests from the libraries that expose the logging service.
LoggerFactory() - Constructor for class org.joone.log.LoggerFactory
lrate - Variable in class org.joone.engine.FIRFilter

## M

m_batch - Variable in class org.joone.engine.Layer
  Not used but maintained for backward serialization compatability.
m_batch - Variable in class org.joone.engine.Synapse
m_cols - Variable in class org.joone.engine.Matrix
  The number of columns.
m_pattern - Variable in class org.joone.engine.Synapse
m_rows - Variable in class org.joone.engine.Matrix
  The number of rows.
m_taps - Variable in class org.joone.engine.FIRFilter
MacroInterface - Interface in org.joone.script
MacroManager - Class in org.joone.script
  This class is a manager of the macros of a Neural Network
MacroManager() - Constructor for class org.joone.script.MacroManager
  Creates a new instance of MacroManager
MacroPlugin - Class in org.joone.util
MacroPlugin() - Constructor for class org.joone.util.MacroPlugin
main(String[]) - Static method in class org.joone.script.JooneGroovyScript
main(String[]) - Static method in class org.joone.script.JooneScript
main(String[]) - Static method in class org.joone.util.CSVParser
  Test
main(String[]) - Static method in class org.joone.util.NeuralNetRunner
manageCycle(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
manageCycle(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
manageCycle(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
manageCycle(Monitor) - Method in class org.joone.util.DynamicAnnealing
manageCycle(Monitor) - Method in class org.joone.util.GroovyMacroPlugin
manageCycle(Monitor) - Method in class org.joone.util.LinearAnnealing
manageCycle(Monitor) - Method in class org.joone.util.MacroPlugin
manageCycle(Monitor) - Method in class org.joone.util.MonitorPlugin
manageCycle(Monitor) - Method in class org.joone.util.SnapshotPlugin
  Process one cycle of activity: calls the doSnapshot method to allow for specific snapshot generation by subclasses.
manageError(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
manageError(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
manageError(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
manageError(Monitor) - Method in class org.joone.util.DynamicAnnealing
manageError(Monitor) - Method in class org.joone.util.GroovyMacroPlugin
manageError(Monitor) - Method in class org.joone.util.LinearAnnealing
manageError(Monitor) - Method in class org.joone.util.MacroPlugin
manageError(Monitor) - Method in class org.joone.util.MonitorPlugin
manageError(Monitor) - Method in class org.joone.util.SnapshotPlugin
  Global error is stored along with the monitor, so this method does nothing.
manageStart(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
manageStart(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
manageStart(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
manageStart(Monitor) - Method in class org.joone.util.DynamicAnnealing
manageStart(Monitor) - Method in class org.joone.util.GroovyMacroPlugin
manageStart(Monitor) - Method in class org.joone.util.LinearAnnealing
manageStart(Monitor) - Method in class org.joone.util.MacroPlugin
manageStart(Monitor) - Method in class org.joone.util.MonitorPlugin
manageStart(Monitor) - Method in class org.joone.util.SnapshotPlugin
  Start a new activity session: calls the doStart method to inform subclasses, then generates a snapshot of the initial state of the network.
manageStop(Monitor) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
manageStop(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
manageStop(Monitor) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
manageStop(Monitor) - Method in class org.joone.util.DynamicAnnealing
manageStop(Monitor) - Method in class org.joone.util.GroovyMacroPlugin
manageStop(Monitor) - Method in class org.joone.util.LinearAnnealing
manageStop(Monitor) - Method in class org.joone.util.MacroPlugin
manageStop(Monitor) - Method in class org.joone.util.MonitorPlugin
manageStop(Monitor) - Method in class org.joone.util.SnapshotPlugin
  Stop an activity session: take a snapshot of the final state of the network, then calls the doStop method to inform subclasses
manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
manageStopError(Monitor, String) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
manageStopError(Monitor, String) - Method in class org.joone.util.DynamicAnnealing
manageStopError(Monitor, String) - Method in class org.joone.util.GroovyMacroPlugin
manageStopError(Monitor, String) - Method in class org.joone.util.LinearAnnealing
manageStopError(Monitor, String) - Method in class org.joone.util.MacroPlugin
manageStopError(Monitor, String) - Method in class org.joone.util.MonitorPlugin
manageStopError(Monitor, String) - Method in class org.joone.util.SnapshotRecorder
mark() - Method in class org.joone.io.ImageInputTokenizer
  Mark the current position.
mark() - Method in class org.joone.io.MemoryInputTokenizer
  marks the current position.
mark() - Method in interface org.joone.io.PatternTokenizer
  marks the current position.
mark() - Method in class org.joone.io.StreamInputTokenizer
  mark the current position.
mark() - Method in class org.joone.io.XLSInputTokenizer
Matrix - Class in org.joone.engine
  The Matrix object represents the connection matrix of the weights of a synapse or the biases of a layer.
Matrix() - Constructor for class org.joone.engine.Matrix
  Default constructor Needed for Save as XML
Matrix(int, int) - Constructor for class org.joone.engine.Matrix
  This constructur creates a weights or biases according to the values `aRows` and `aColumns`.
Matrix(int, int, double) - Constructor for class org.joone.engine.Matrix
  This constructur creates a weights or biases according to the values `aRows` and `aColumns`.
MatrixBeanInfo - Class in org.joone.engine
MatrixBeanInfo() - Constructor for class org.joone.engine.MatrixBeanInfo
memory - Variable in class org.joone.engine.FIRFilter
memory - Variable in class org.joone.engine.MemoryLayer
MemoryInputSynapse - Class in org.joone.io
MemoryInputSynapse() - Constructor for class org.joone.io.MemoryInputSynapse
  Creates a new instance of MemoryInputSynapse
MemoryInputTokenizer - Class in org.joone.io
MemoryInputTokenizer() - Constructor for class org.joone.io.MemoryInputTokenizer
  Creates a new instance of MemoryInputTokenizer
MemoryInputTokenizer(double[][]) - Constructor for class org.joone.io.MemoryInputTokenizer
MemoryLayer - Class in org.joone.engine
MemoryLayer() - Constructor for class org.joone.engine.MemoryLayer
MemoryLayer(String) - Constructor for class org.joone.engine.MemoryLayer
MemoryLayerBeanInfo - Class in org.joone.engine
MemoryLayerBeanInfo() - Constructor for class org.joone.engine.MemoryLayerBeanInfo
MemoryOutputSynapse - Class in org.joone.io
MemoryOutputSynapse() - Constructor for class org.joone.io.MemoryOutputSynapse
  Creates a new instance of MemoryOutputSynapse
MinMaxExtractorPlugIn - Class in org.joone.util
  Extracts from the time series the inversion points, setting its range from MIN_VALUE to MAX_VALUE.
MinMaxExtractorPlugIn() - Constructor for class org.joone.util.MinMaxExtractorPlugIn
  constructor MinMaxExtractorSynapse.
MinMaxExtractorPlugIn.PointValue - Class in org.joone.util
MinMaxExtractorPlugIn.PointValue() - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue
MinMaxExtractorPlugIn.PointValue(MinMaxExtractorPlugIn.PointValue) - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue
MinMaxExtractorPlugIn.PointValue(int, double) - Constructor for class org.joone.util.MinMaxExtractorPlugIn.PointValue
MinMaxExtractorPlugInBeanInfo - Class in org.joone.util
MinMaxExtractorPlugInBeanInfo() - Constructor for class org.joone.util.MinMaxExtractorPlugInBeanInfo
momentum - Variable in class org.joone.engine.FIRFilter
MomentumExtender - Class in org.joone.engine.extenders
  This extender implements the momentum term.
MomentumExtender() - Constructor for class org.joone.engine.extenders.MomentumExtender
  Creates a new instance of MomentumExtender
monitor - Variable in class org.joone.engine.AbstractEventNotifier
monitor - Variable in class org.joone.engine.AbstractLearner
  The saved monitor object.
monitor - Variable in class org.joone.engine.Layer
  The monitor of the layer.
Monitor - Class in org.joone.engine
  The Monitor object is the controller of the behavior of the neural net.
Monitor() - Constructor for class org.joone.engine.Monitor
  This is the default Constructor.
MonitorBeanInfo - Class in org.joone.engine
MonitorBeanInfo() - Constructor for class org.joone.engine.MonitorBeanInfo
MonitorPlugin - Class in org.joone.util
  This class represents a generic listener of the net's events.
MonitorPlugin() - Constructor for class org.joone.util.MonitorPlugin
MonitorPluginBeanInfo - Class in org.joone.util
MonitorPluginBeanInfo() - Constructor for class org.joone.util.MonitorPluginBeanInfo
months - Variable in class org.joone.io.YahooFinanceInputSynapse
MovingAveragePlugIn - Class in org.joone.util
  Changes the specified input serie data so that it becomes a moving average of itself.
MovingAveragePlugIn() - Constructor for class org.joone.util.MovingAveragePlugIn
  Default MovingAveragePlugIn constructor.
MovingAveragePlugIn(String, String) - Constructor for class org.joone.util.MovingAveragePlugIn
  MovingAveragePlugIn constructor that allows specification of the Advanced Serie Selector and the Moving Average Specification.
MovingAveragePlugInBeanInfo - Class in org.joone.util
MovingAveragePlugInBeanInfo() - Constructor for class org.joone.util.MovingAveragePlugInBeanInfo
MultipleInputSynapse - Class in org.joone.io
  This class reads sequentially all the connected input synapses, in order to be able to use multiple sources as inputs.
MultipleInputSynapse() - Constructor for class org.joone.io.MultipleInputSynapse
  Creates a new instance of MultipleInputSynapse
myLearner - Variable in class org.joone.engine.Layer
  The Learner for this layer.
myLearner - Variable in class org.joone.engine.Synapse

## N

Nakayama - Class in org.joone.structure
  This class performs the method of optimizing activation functions as described in: K.Nakayama and Y.Kimura, "Optimization of activation functions in multilayer neural network applied to pattern classification", Proc.
Nakayama(NeuralNet) - Constructor for class org.joone.structure.Nakayama
  Creates a new instance of Nakayama.
nakayama - Variable in class org.joone.structure.PatternForwardedSynapse
  The nakayama object that needs to be informed.
NestedNeuralLayer - Class in org.joone.net
NestedNeuralLayer() - Constructor for class org.joone.net.NestedNeuralLayer
NestedNeuralLayer(String) - Constructor for class org.joone.net.NestedNeuralLayer
NestedNeuralLayerBeanInfo - Class in org.joone.net
NestedNeuralLayerBeanInfo() - Constructor for class org.joone.net.NestedNeuralLayerBeanInfo
NetCheck - Class in org.joone.net
  Class to represent a network validation check error.
NetCheck(int, String, Object) - Constructor for class org.joone.net.NetCheck
  Constructor.
NetChecker - Class in org.joone.net
NetChecker(NeuralNet) - Constructor for class org.joone.net.NetChecker
  Constructor.
netConverged(ConvergenceEvent, ConvergenceObserver) - Method in interface org.joone.engine.listeners.ConvergenceListener
  This method is called whenever the network has converged according to some `ConvergenceObserver`
netConverged(ConvergenceEvent, ConvergenceObserver) - Method in class org.joone.structure.Nakayama
NetErrorManager - Class in org.joone.engine
  This class should be used when ever a critical error occurs that would impact on the training or running of the network.
NetErrorManager(Monitor, String) - Constructor for class org.joone.engine.NetErrorManager
  Constructor that stops and resets the neural network.
netStarted(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer
  Initialises the time constant used to decrease the size of the spatial map.
netStarted(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse
  Initialises any shape sizes such as circular radius and time constant before possible training.
netStarted(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter
netStarted(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener
netStarted(NeuralNetEvent) - Method in class org.joone.net.NeuralNet
  Not implemented.
netStarted(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator
netStarted(NeuralNetEvent) - Method in class org.joone.structure.Nakayama
netStarted(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin
netStarted(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner
netStopped(NeuralNetEvent) - Method in class org.joone.engine.GaussianLayer
netStopped(NeuralNetEvent) - Method in class org.joone.engine.KohonenSynapse
  Not implemented.
netStopped(NeuralNetEvent) - Method in class org.joone.engine.NeuralNetAdapter
netStopped(NeuralNetEvent) - Method in interface org.joone.engine.NeuralNetListener
netStopped(NeuralNetEvent) - Method in class org.joone.net.NeuralNet
  Not implemented.
netStopped(NeuralNetEvent) - Method in class org.joone.net.NeuralNetValidator
netStopped(NeuralNetEvent) - Method in class org.joone.structure.Nakayama
netStopped(NeuralNetEvent) - Method in class org.joone.util.MonitorPlugin
  netStopped method comment.
netStopped(NeuralNetEvent) - Method in class org.joone.util.NeuralNetRunner
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.GaussianLayer
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.KohonenSynapse
  Not implemented.
netStoppedError() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.learning.ComparisonSynapse
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.engine.NeuralNetAdapter
netStoppedError(NeuralNetEvent, String) - Method in interface org.joone.engine.NeuralNetListener
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.net.NeuralNet
  Stops the execution threads and resets all the layers in the event of an crtitical network error.
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.net.NeuralNetValidator
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.structure.Nakayama
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.util.MonitorPlugin
netStoppedError(NeuralNetEvent, String) - Method in class org.joone.util.NeuralNetRunner
NetStoppedEventNotifier - Class in org.joone.engine
  Raises the netStopped event from within a separate Thread
NetStoppedEventNotifier(Monitor) - Constructor for class org.joone.engine.NetStoppedEventNotifier
  Creates a new instance of netStoppedEventNotifier
netValidated(NeuralValidationEvent) - Method in interface org.joone.net.NeuralValidationListener
netValidated(NeuralValidationEvent) - Method in class org.joone.structure.Nakayama
NeuralElement - Interface in org.joone.engine
  This interface represents a generic element of a neural network
NeuralLayer - Interface in org.joone.engine
  This is the interface for all the layer objects of the neural network
NeuralNet - Class in org.joone.net
  This object represents a container of a neural network, giving to the developer the possibility to manage a neural network as a whole.
NeuralNet() - Constructor for class org.joone.net.NeuralNet
  Creates new NeuralNet
NeuralNetAdapter - Class in org.joone.engine
NeuralNetAdapter() - Constructor for class org.joone.engine.NeuralNetAdapter
NeuralNetAttributes - Class in org.joone.net
  This class represents a descriptor of a neural network.
NeuralNetAttributes() - Constructor for class org.joone.net.NeuralNetAttributes
  Creates a new instance of NeuralNetDescriptor
NeuralNetBeanInfo - Class in org.joone.net
NeuralNetBeanInfo() - Constructor for class org.joone.net.NeuralNetBeanInfo
NeuralNetEvent - Class in org.joone.engine
  Transport class used to notify the events raised from a neural network
NeuralNetEvent(Monitor) - Constructor for class org.joone.engine.NeuralNetEvent
  The event constructor
NeuralNetListener - Interface in org.joone.engine
NeuralNetLoader - Class in org.joone.net
NeuralNetLoader(String) - Constructor for class org.joone.net.NeuralNetLoader
  Creates a new instance of NeuralNetLoader
NeuralNetRunner - Class in org.joone.util
NeuralNetRunner() - Constructor for class org.joone.util.NeuralNetRunner
NeuralNetValidator - Class in org.joone.net
  This class is useful to validate a neural network.
NeuralNetValidator(NeuralNet) - Constructor for class org.joone.net.NeuralNetValidator
NeuralValidationEvent - Class in org.joone.net
NeuralValidationEvent(NeuralNet) - Constructor for class org.joone.net.NeuralValidationEvent
  Creates a new instance of NeuralValidationEvent
NeuralValidationListener - Interface in org.joone.net
newCycle() - Method in class org.joone.util.ConverterPlugIn
  This method is called at the start of a new cycle, and permit to apply the conversion for the components having the applyEveryCycle property set to true.
nextLine() - Method in class org.joone.io.ImageInputTokenizer
  Fetchs the next line and extracts all the tokens
nextLine() - Method in class org.joone.io.MemoryInputTokenizer
  Go to the next line
nextLine() - Method in interface org.joone.io.PatternTokenizer
  Go to the next line
nextLine() - Method in class org.joone.io.StreamInputTokenizer
  Fetchs the next line and extracts all the tokens
nextLine() - Method in class org.joone.io.XLSInputTokenizer
nextPlugIn - Variable in class org.joone.io.StreamOutputSynapse
nextStep() - Method in class org.joone.engine.Monitor
  Returns if the next pattern must be elaborated
nnet - Variable in class org.joone.net.NeuralNetLoader
nnet - Variable in class org.joone.util.NeuralNetRunner
NormalizerPlugIn - Class in org.joone.util
  Normalizes the input data within a predefined range Creation date: (23/10/2000 23.23.25)
NormalizerPlugIn() - Constructor for class org.joone.util.NormalizerPlugIn
  NormalizerPlugIn constructor
NormalizerPlugInBeanInfo - Class in org.joone.util
NormalizerPlugInBeanInfo() - Constructor for class org.joone.util.NormalizerPlugInBeanInfo
notFirstTime - Variable in class org.joone.engine.Synapse
notFirstTimeB - Variable in class org.joone.engine.Synapse
NotSerialize - Interface in org.joone.util
  This interface is implemented by all the input/output Synapses that must not be serialized when the NeuralNet is exported.
numColumns() - Method in class org.joone.io.InputSwitchSynapse
numColumns() - Method in class org.joone.io.StreamInputSynapse

## O

OnlineModeExtender - Class in org.joone.engine.extenders
  This is the default weight updater (online).
OnlineModeExtender() - Constructor for class org.joone.engine.extenders.OnlineModeExtender
  Creates a new instance of OnlineExtender
optimize() - Method in class org.joone.structure.Nakayama
  Optimizes the activation functions of the neural network.
org.joone.engine - package org.joone.engine
org.joone.engine.extenders - package org.joone.engine.extenders
org.joone.engine.learning - package org.joone.engine.learning
org.joone.engine.listeners - package org.joone.engine.listeners
org.joone.engine.weights - package org.joone.engine.weights
org.joone.exception - package org.joone.exception
org.joone.inspection - package org.joone.inspection
org.joone.inspection.implementations - package org.joone.inspection.implementations
org.joone.io - package org.joone.io
org.joone.log - package org.joone.log
org.joone.net - package org.joone.net
org.joone.script - package org.joone.script
org.joone.structure - package org.joone.structure
org.joone.util - package org.joone.util
OUTPUT_LAYER - Static variable in class org.joone.net.NeuralNet
OutputConverterPlugIn - Class in org.joone.util
  Abstract class that must be extended to implement plugins for output data preprocessing.
OutputConverterPlugIn() - Constructor for class org.joone.util.OutputConverterPlugIn
  Constructor of CoverterPlugIn.
OutputConverterPlugIn(String) - Constructor for class org.joone.util.OutputConverterPlugIn
  Constructor of CoverterPlugIn.
OutputConverterPlugInBeanInfo - Class in org.joone.util
OutputConverterPlugInBeanInfo() - Constructor for class org.joone.util.OutputConverterPlugInBeanInfo
OutputPatternListener - Interface in org.joone.engine
  This interface represents an output synapse for a generic layer.
outputPatternListeners - Variable in class org.joone.engine.Layer
  Contains the list of output connected listeners (OutputPatternListener)
OutputPluginEvent - Class in org.joone.util
  Deprecated. Use `PlugInEvent`
OutputPluginEvent(AbstractConverterPlugIn) - Constructor for class org.joone.util.OutputPluginEvent
  Deprecated.
OutputPluginListener - Interface in org.joone.util
  Deprecated. Use `PlugInListener`
outputs - Variable in class org.joone.engine.OutputSwitchSynapse
OutputSwitchSynapse - Class in org.joone.engine
  This class acts as a switch that can connect its input to one of its connected output synapses.
OutputSwitchSynapse() - Constructor for class org.joone.engine.OutputSwitchSynapse
  The constructor
OutputSwitchSynapseBeanInfo - Class in org.joone.engine
OutputSwitchSynapseBeanInfo() - Constructor for class org.joone.engine.OutputSwitchSynapseBeanInfo
outs - Variable in class org.joone.engine.FIRFilter
outs - Variable in class org.joone.engine.Layer
  Set of output values passed from this layer to connected OutputListeners durng the recall phase.
outs - Variable in class org.joone.engine.Synapse

## P

parseDouble() - Method in class org.joone.util.CSVParser
  Parse the string and returns an array containing all the values encountered.
parseInt() - Method in class org.joone.util.CSVParser
  Parse the string and returns an array containing all the values encountered.
Pattern - Class in org.joone.engine
  The pattern object contains the data that must be processed from a neural net.
Pattern() - Constructor for class org.joone.engine.Pattern
  Default Constructor Added for Save As XML
Pattern(double[]) - Constructor for class org.joone.engine.Pattern
PatternBeanInfo - Class in org.joone.engine
PatternBeanInfo() - Constructor for class org.joone.engine.PatternBeanInfo
patternFinished() - Method in class org.joone.structure.Nakayama
  This method is called after every pattern, so we can retrieve information from the network that is related to the pattern that was just forwarded through the network.
PatternForwardedSynapse - Class in org.joone.structure
  This class/synapse is only used to inform a Nakayama object whenever a single patterns has been forwarded through the network.
PatternForwardedSynapse(Nakayama) - Constructor for class org.joone.structure.PatternForwardedSynapse
  Constructor
PatternTokenizer - Interface in org.joone.io
  Interface to extract tokens from an input stream
pClass - Variable in class org.joone.log.JooneLogger
peek() - Method in class org.joone.engine.Fifo
  Looks at the object at the top of this stack without removing it from the stack.
Period - Variable in class org.joone.io.YahooFinanceInputSynapse
PlugInEvent - Class in org.joone.util
  This event is sent by plug-ins indicating that data is changed.
PlugInEvent(Object) - Constructor for class org.joone.util.PlugInEvent
  Creates a new instance of PlugInEvent
PlugInListener - Interface in org.joone.util
  This interface defines the methods needed to be implemented by listeners that listens to plug-ins that might send data changed / plug-in events
plugInListeners - Variable in class org.joone.io.StreamInputSynapse
  List of plug-in listeners (often input connectors).
pluginListeners - Variable in class org.joone.util.AbstractConverterPlugIn
  A vector of objects that are listening to this object for plug-in (data changed) events.
PNG - Variable in class org.joone.io.ImageOutputSynapse
point - Variable in class org.joone.util.MinMaxExtractorPlugIn.PointValue
pop() - Method in class org.joone.engine.Fifo
  Removes the object at the top of this stack and returns that object as the value of this function.
postBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners and extenders a change to do some post-computing after the biases are updated.
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.BatchModeExtender
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.LearnerExtender
  Gives extenders a change to do some post-computing after the biases are updated.
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.MomentumExtender
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.RpropExtender
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
postBiasUpdate(double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender
postBiasUpdateImpl(double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners a change to do some post-computing after the biases are updated.
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners and extenders a change to do some post-computing after the weights are updated.
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.BatchModeExtender
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.LearnerExtender
  Gives extenders a change to do some post-computing after the weights are updated.
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.MomentumExtender
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.RpropExtender
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
postWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender
postWeightUpdateImpl(double[], double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners a change to do some post-computing after the weights are updated.
preBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners and extenders a change to do some pre-computing before the biases are updated.
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.BatchModeExtender
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.LearnerExtender
  Gives extenders a change to do some pre-computing before the biases are updated.
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.MomentumExtender
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.RpropExtender
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
preBiasUpdate(double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender
preBiasUpdateImpl(double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners a change to do some pre-computing before the biases are updated.
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners and extenders a change to do some pre-computing before the weights are updated.
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.BatchModeExtender
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.LearnerExtender
  Gives extenders a change to do some pre-computing before the weights are updated.
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.MomentumExtender
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.OnlineModeExtender
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.RpropExtender
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
preWeightUpdate(double[], double[]) - Method in class org.joone.engine.extenders.WeightDecayExtender
preWeightUpdateImpl(double[], double[]) - Method in class org.joone.engine.ExtendableLearner
  Gives learners a change to do some pre-computing before the weights are updated.
printer - Variable in class org.joone.io.FileOutputSynapse
push(Object) - Method in class org.joone.engine.Fifo
  Pushes an item onto the top of this stack.
pushError(double, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Pushes the calculated array in the FIFO queue at the end of a epoch, that is after all patterns have been seen.

## R

randomize(double) - Method in class org.joone.engine.Layer
  Initialize the weights of the biases and of all the connected synapses
randomize(double) - Method in class org.joone.engine.Synapse
  Initializes all the weigths of the synapses with random values
randomize(double) - Method in class org.joone.net.NestedNeuralLayer
randomize(double) - Method in class org.joone.net.NeuralNet
RandomWeightInitializer - Class in org.joone.engine.weights
  This class initializes weights (and biases) in a random way within a given domain.
RandomWeightInitializer(double) - Constructor for class org.joone.engine.weights.RandomWeightInitializer
  Creates a new instance of RandomWeightInitializer
RandomWeightInitializer(double, double) - Constructor for class org.joone.engine.weights.RandomWeightInitializer
  Creates a new instance of RandomWeightInitializer and set the domain to initialize the weights with to `[aLowerBound, anUpperBound]`.
RbfGaussianLayer - Class in org.joone.engine
  This class implements the nonlinear layer in Radial Basis Function (RBF) networks using Gaussian functions.
RbfGaussianLayer() - Constructor for class org.joone.engine.RbfGaussianLayer
  Creates a new instance of RbfGaussianLayer
RbfGaussianParameters - Class in org.joone.engine
  This class defines the parameters, like center, sigma, etc. for the Gaussian RBF.
RbfGaussianParameters() - Constructor for class org.joone.engine.RbfGaussianParameters
  Creates a new instance of RbfGaussianParameters
RbfGaussianParameters(double[], double) - Constructor for class org.joone.engine.RbfGaussianParameters
  Creates a new instance of RbfGaussianParameters.
RbfInputSynapse - Class in org.joone.engine
  The synapse to the input of a radial basis function layer should't provide a single value to every neuron in the output (RBF) layer, as is usual the case.
RbfInputSynapse() - Constructor for class org.joone.engine.RbfInputSynapse
  Creates a new instance of RbfInputSynapse
RbfLayer - Class in org.joone.engine
  This is the basis (helper) for radial basis function layers.
RbfLayer() - Constructor for class org.joone.engine.RbfLayer
  Creates a new instance of RbfLayer
RbfLayer(String) - Constructor for class org.joone.engine.RbfLayer
  Creates a new instance of RbfLayer
RbfRandomCenterSelector - Class in org.joone.util
  This plug in is used to select fixed centers for Gaussian RBF layers randomly from the input data.
RbfRandomCenterSelector(RbfGaussianLayer) - Constructor for class org.joone.util.RbfRandomCenterSelector
  Creates a new instance of RbfRandomCenterSelector
readAll() - Method in class org.joone.io.InputSwitchSynapse
readAll() - Method in interface org.joone.io.InputSynapse
readAll() - Method in class org.joone.io.StreamInputSynapse
readObjectBase(ObjectInputStream) - Method in class org.joone.io.StreamInputSynapse
readResolve() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
readResolve() - Method in class org.joone.engine.Monitor
readResolve() - Method in class org.joone.engine.Synapse
registerLearnable(Learnable) - Method in class org.joone.engine.AbstractLearner
  Learnable makes itself known to the Learner, also the type of Learnable is checked.
registerLearnable(Learnable) - Method in interface org.joone.engine.Learner
  The Learnable calls this method to make itself known to the Learner
reinit() - Method in class org.joone.engine.extenders.RpropExtender
  (Re)Initializes this RPROP learner.
reinit() - Method in class org.joone.engine.RpropLearner
  Deprecated. used for backward compatibility
removeAllInputs() - Method in class org.joone.engine.Layer
  Remove all the input listeners of the layer
removeAllInputs() - Method in interface org.joone.engine.NeuralLayer
  Remove all the input listeners of the net
removeAllInputs() - Method in class org.joone.io.InputSwitchSynapse
removeAllInputs() - Method in class org.joone.net.NestedNeuralLayer
removeAllInputs() - Method in class org.joone.net.NeuralNet
removeAllListeners() - Method in class org.joone.engine.Monitor
  Removes all the NeuralNetListeners.
removeAllListeners() - Method in class org.joone.net.NeuralNet
removeAllListeners() - Method in class org.joone.structure.Nakayama
  Removes all the listeners from the neural network (temporarely).
removeAllOutputs() - Method in class org.joone.engine.Layer
  Remove all the output listeners of the layer
removeAllOutputs() - Method in interface org.joone.engine.NeuralLayer
  Remove all the output listeners of the net
removeAllOutputs() - Method in class org.joone.net.NestedNeuralLayer
removeAllOutputs() - Method in class org.joone.net.NeuralNet
removeAllPlugIns() - Method in class org.joone.io.StreamInputSynapse
  Removes (and disconnects) all (cascading) plug-ins.
removeAllPlugIns() - Method in class org.joone.io.StreamOutputSynapse
  Removes (and disconnects) all (cascading) plug-ins.
removeAllPlugIns() - Method in class org.joone.util.AbstractConverterPlugIn
  Removes (and disconnects) all (cascading) plug ins.
removeColumn(int) - Method in class org.joone.engine.Matrix
  Removes a column.
removeConvergenceListener(ConvergenceListener) - Method in class org.joone.engine.listeners.ConvergenceObserver
  Removes a convergence listener.
removeInputSynapse(InputPatternListener) - Method in class org.joone.engine.Layer
  Remove an input Listener
removeInputSynapse(InputPatternListener) - Method in interface org.joone.engine.NeuralLayer
  Remove an input Listener
removeInputSynapse(String) - Method in class org.joone.io.InputSwitchSynapse
  Removes an input synapse from the switch
removeInputSynapse(InputPatternListener) - Method in class org.joone.net.NestedNeuralLayer
removeInputSynapse(InputPatternListener) - Method in class org.joone.net.NeuralNet
removeLayer(Layer) - Method in class org.joone.net.NeuralNet
removeListener(NeuralNetListener) - Method in class org.joone.engine.Layer
removeMacro(String) - Method in class org.joone.script.MacroManager
  Removes a macro.
removeNeuralNetListener(NeuralNetListener) - Method in class org.joone.engine.Monitor
  Removes a listener
removeNeuralNetListener(NeuralNetListener) - Method in class org.joone.net.NeuralNet
removeNeuron(int, int) - Method in class org.joone.structure.Nakayama
  Removes a neuron.
removeOutputPluginListener(OutputPluginListener) - Method in class org.joone.util.OutputConverterPlugIn
  Deprecated. Use `AbstractConverterPlugIn.removePlugInListener(PlugInListener)`
removeOutputSynapse(OutputPatternListener) - Method in class org.joone.engine.Layer
  Remove an output listener from the layer
removeOutputSynapse(OutputPatternListener) - Method in interface org.joone.engine.NeuralLayer
  Remove an output listener from the layer
removeOutputSynapse(String) - Method in class org.joone.engine.OutputSwitchSynapse
  Removes an output synapse from the switch
removeOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NestedNeuralLayer
removeOutputSynapse(OutputPatternListener) - Method in class org.joone.net.NeuralNet
removePlugInListener(PlugInListener) - Method in class org.joone.io.StreamInputSynapse
  Removes a plug-in listener from this input stream.
removePlugInListener(PlugInListener) - Method in class org.joone.util.AbstractConverterPlugIn
  Removes a `PlugInListener` that was previously registered to receive plugin (data changed) events.
removeResultSynapse(OutputPatternListener) - Method in interface org.joone.engine.learning.ComparingElement
  Removes an output synapse
removeResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.ComparingSynapse
removeResultSynapse(OutputPatternListener) - Method in class org.joone.engine.learning.TeachingSynapse
removeRow(int) - Method in class org.joone.engine.Matrix
  Removes a row.
removeTrainingSet() - Method in class org.joone.util.LearningSwitch
removeValidationSet() - Method in class org.joone.util.LearningSwitch
renameMacro(String, String) - Method in class org.joone.script.MacroManager
  Renames a macro.
requestBiasUpdate(double[]) - Method in class org.joone.engine.ExtendableLearner
requestBiasUpdate(double[]) - Method in interface org.joone.engine.Learner
  Override this method to implement what should be done to LearnableLayers
requestWeightUpdate(double[], double[]) - Method in class org.joone.engine.ExtendableLearner
requestWeightUpdate(double[], double[]) - Method in interface org.joone.engine.Learner
  Override this method to implement what should be done to LearnableSynapses
reset() - Method in interface org.joone.engine.InputPatternListener
  reset of the input synapse
reset() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Reset the input and desired synapses
reset() - Method in class org.joone.engine.learning.ComparisonSynapse
  reset of the input synapse
reset() - Method in class org.joone.engine.OutputSwitchSynapse
  Resets the switch, connecting the default synapse to the output
reset() - Method in class org.joone.engine.Synapse
  Resets the internal state to be ready for the next run
reset() - Method in class org.joone.io.InputSwitchSynapse
reset() - Method in class org.joone.io.MultipleInputSynapse
reset() - Method in class org.joone.io.StreamInputSynapse
  reset the state of the input synapse
resetCycle() - Method in class org.joone.engine.Monitor
resetDelta(Matrix) - Method in class org.joone.engine.extenders.BatchModeExtender
  Resets delta values to zero.
resetInput() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
resetInput() - Method in interface org.joone.engine.learning.ComparingElement
  Resets the internal buffer of the desired StreamInputSynapse
resetInput() - Method in class org.joone.engine.learning.ComparingSynapse
resetInput() - Method in class org.joone.engine.learning.ComparisonSynapse
resetInput() - Method in class org.joone.engine.learning.TeachingSynapse
resetInput() - Method in class org.joone.io.ImageInputTokenizer
  Go to the last marked position.
resetInput() - Method in class org.joone.io.InputConnector
resetInput() - Method in class org.joone.io.InputSwitchSynapse
resetInput() - Method in interface org.joone.io.InputSynapse
resetInput() - Method in class org.joone.io.MemoryInputTokenizer
  Go to the last marked position.
resetInput() - Method in interface org.joone.io.PatternTokenizer
  Go to the last marked position.
resetInput() - Method in class org.joone.io.StreamInputSynapse
  Reset the input stream to read its content again
resetInput() - Method in class org.joone.io.StreamInputTokenizer
  Go to the last marked position.
resetInput() - Method in class org.joone.io.XLSInputTokenizer
resetInput() - Method in class org.joone.net.NeuralNet
  Resets all the StreamInputLayer of the net
resetInputListeners() - Method in class org.joone.engine.Layer
  Reset all the input listeners
resetNnet() - Method in class org.joone.util.NeuralNetRunner
resetOutput() - Method in class org.joone.engine.OutputSwitchSynapse
resetSwitch() - Method in class org.joone.io.InputSwitchSynapse
  Resets the switch, connecting the default synapse to the output
restore() - Method in class org.joone.net.NeuralNet
  Continue the execution of the network after the stop() method is called.
restoreAllListeners() - Method in class org.joone.structure.Nakayama
  Restore all the listeners to the neural network.
result - Variable in class org.joone.util.NeuralNetRunner
revGet() - Method in class org.joone.engine.BufferedSynapse
  Not used
revGet() - Method in class org.joone.engine.DirectSynapse
revGet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
revGet() - Method in class org.joone.engine.learning.ComparingSynapse
revGet() - Method in class org.joone.engine.learning.ComparisonSynapse
revGet() - Method in class org.joone.engine.learning.TeachingSynapse
revGet() - Method in interface org.joone.engine.OutputPatternListener
  Returns the error pattern coming from the next layer during the training phase
revGet() - Method in class org.joone.engine.OutputSwitchSynapse
  Returns the error pattern coming from the next layer during the training phase
revGet() - Method in class org.joone.engine.Synapse
revGet() - Method in class org.joone.io.StreamOutputSynapse
revLock - Variable in class org.joone.engine.Synapse
revPut(Pattern) - Method in class org.joone.engine.BufferedSynapse
  Not used
revPut(Pattern) - Method in class org.joone.engine.DirectSynapse
revPut(Pattern) - Method in interface org.joone.engine.InputPatternListener
  Method to put an error pattern backward to the previous layer
revPut(Pattern) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
revPut(Pattern) - Method in class org.joone.engine.learning.ComparisonSynapse
revPut(Pattern) - Method in class org.joone.engine.Synapse
revPut(Pattern) - Method in class org.joone.io.InputSwitchSynapse
  Method to put an error pattern backward to the previous layer
revPut(Pattern) - Method in class org.joone.io.StreamInputSynapse
revRun(Pattern) - Method in class org.joone.engine.Layer
  This method serves to a single backward step when the Layer is called from an external thread
revRun(Pattern) - Method in class org.joone.net.NestedNeuralLayer
rowNumbers() - Method in class org.joone.inspection.implementations.BiasInspection
rowNumbers() - Method in class org.joone.inspection.implementations.InputsInspection
rowNumbers() - Method in class org.joone.inspection.implementations.WeightsInspection
rowNumbers() - Method in interface org.joone.inspection.Inspection
  Method to get the necessity to display a column containing the row's numbers for these inspection values.
RpropExtender - Class in org.joone.engine.extenders
  This class changes the delta value in such a way that it implements the RPROP algorithm.
RpropExtender() - Constructor for class org.joone.engine.extenders.RpropExtender
  Creates a new instance of RpropExtender
RpropLearner - Class in org.joone.engine
  This class implements the RPROP learning algorithm.
RpropLearner() - Constructor for class org.joone.engine.RpropLearner
  Creates a new instance of RpropLearner
RpropLearner(RpropParameters) - Constructor for class org.joone.engine.RpropLearner
  Creates a new instance of RpropLearner.
RpropParameters - Class in org.joone.engine
  This object holds the global parameters for the RPROP learning algorithm (RpropLearner).
RpropParameters() - Constructor for class org.joone.engine.RpropParameters
  Creates a new instance of RpropParameters
run() - Method in class org.joone.engine.AbstractEventNotifier
  The inherited classes must to override this method invoking into it the desired monitor.fireXXX method
run() - Method in class org.joone.engine.Layer
  The core running engine of the layer.
run() - Method in class org.joone.engine.NetStoppedEventNotifier
  Raises the netStopped event
run() - Method in class org.joone.net.NeuralNetValidator
runAgain() - Method in class org.joone.engine.Monitor
  Let continue the net.
runMacro(String) - Method in interface org.joone.script.MacroInterface
  Run a generic macro contained in a text
runMacro(String) - Method in class org.joone.util.GroovyMacroPlugin
  Run a generic macro contained in a text
runMacro(String) - Method in class org.joone.util.MacroPlugin
  Run a generic macro contained in a text
running - Variable in class org.joone.engine.Layer
  Whether the layer is running
runValidation() - Method in class org.joone.structure.Nakayama
  Runs the network with a validator, this way we are able to collect information related to the different patterns.

## S

SangerSynapse - Class in org.joone.engine
  This is the synapse useful to extract the principal components from an input data set.
SangerSynapse() - Constructor for class org.joone.engine.SangerSynapse
  Creates a new instance of SangerSynapse
search(Object) - Method in class org.joone.engine.Fifo
  Returns where an object is on this stack.
selectNeurons() - Method in class org.joone.structure.Nakayama
  Selects neurons to be deleted based on the information calculated by `evaluateNeurons()`.
serialVersionUID - Static variable in class org.joone.io.ImageInputSynapse
serialVersionUID - Static variable in class org.joone.io.ImageOutputSynapse
serialVersionUID - Static variable in class org.joone.io.MemoryInputSynapse
serialVersionUID - Static variable in class org.joone.io.MemoryOutputSynapse
serialVersionUID - Static variable in class org.joone.io.XLSOutputSynapse
  The serial version ID for this object.
serialVersionUID - Static variable in class org.joone.io.YahooFinanceInputSynapse
serialVersionUID - Static variable in class org.joone.net.NestedNeuralLayer
serialVersionUID - Static variable in class org.joone.script.JooneMacro
serialVersionUID - Static variable in class org.joone.script.MacroManager
serialVersionUID - Static variable in class org.joone.util.GroovyMacroPlugin
serialVersionUID - Static variable in class org.joone.util.MacroPlugin
serialVersionUID - Static variable in class org.joone.util.MovingAveragePlugIn
serialVersionUID - Static variable in class org.joone.util.ShufflePlugin
serialVersionUID - Static variable in class org.joone.util.UnNormalizerOutputPlugIn
set(String, Object) - Method in class org.joone.script.JooneGroovyScript
set(String, Object) - Method in class org.joone.script.JooneScript
set(String, Object) - Method in interface org.joone.script.MacroInterface
  Exports an internal variable in the script's namespace
set(String, Object) - Method in class org.joone.util.GroovyMacroPlugin
set(String, Object) - Method in class org.joone.util.MacroPlugin
setActiveInput(String) - Method in class org.joone.io.InputSwitchSynapse
  Sets the input synapse connected to the output
setActiveOutput(String) - Method in class org.joone.engine.OutputSwitchSynapse
  Sets the output synapse connected to the input
setActiveSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse
  Setter for property activeSynapse.
setActiveSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse
  Setter for property activeSynapse.
setAdvancedColumnSelector(String) - Method in class org.joone.io.StreamInputSynapse
setAdvancedMovAvgSpec(String) - Method in class org.joone.util.MovingAveragePlugIn
  Sets the Moving Average value/s requested by the user.
setAdvancedSerieSelector(String) - Method in class org.joone.util.AbstractConverterPlugIn
  Sets the AdvancedSerieSelector for this plugin.
setAllInputs(Vector) - Method in class org.joone.engine.Layer
  Sets the Vector that contains all the input listeners.
setAllInputs(Vector) - Method in interface org.joone.engine.NeuralLayer
  Sets the vector that contains all the input listeners.
setAllInputs(Vector) - Method in class org.joone.io.InputSwitchSynapse
setAllInputs(Vector) - Method in class org.joone.net.NestedNeuralLayer
setAllInputs(Vector) - Method in class org.joone.net.NeuralNet
setAllOutputs(Vector) - Method in class org.joone.engine.Layer
  Sets the Vector that contains all the output listeners.
setAllOutputs(Vector) - Method in interface org.joone.engine.NeuralLayer
  Sets the vector that contains all the output listeners.
setAllOutputs(Vector) - Method in class org.joone.net.NestedNeuralLayer
setAllOutputs(Vector) - Method in class org.joone.net.NeuralNet
setAppend(boolean) - Method in class org.joone.io.FileOutputSynapse
  Setter for property append.
setApplyEveryCycle(boolean) - Method in class org.joone.util.ConverterPlugIn
  Setter for property applyEachCycle.
setArray(double[]) - Method in class org.joone.engine.Pattern
setArrays(int, int) - Method in class org.joone.engine.BufferedSynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.engine.DelaySynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.engine.DirectSynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.engine.FullSynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
setArrays(int, int) - Method in class org.joone.engine.learning.ComparingSynapse
  Insert the method's description here.
setArrays(int, int) - Method in class org.joone.engine.learning.ComparisonSynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.engine.learning.TeachingSynapse
  Insert the method's description here.
setArrays(int, int) - Method in class org.joone.engine.RbfInputSynapse
setArrays(int, int) - Method in class org.joone.engine.Synapse
  Insert the method's description here.
setArrays(int, int) - Method in class org.joone.io.StreamInputSynapse
  setArrays method.
setArrays(int, int) - Method in class org.joone.io.StreamOutputSynapse
  setArrays method comment.
setArrays(int, int) - Method in class org.joone.structure.PatternForwardedSynapse
setBatchSize(int) - Method in class org.joone.engine.BatchLearner
  Deprecated. use monitor.setBatchSize()
setBatchSize(int) - Method in class org.joone.engine.extenders.BatchModeExtender
  Deprecated. use monitor.setBatchSize()
setBatchSize(int) - Method in class org.joone.engine.Monitor
  Setter for the property BatchSize
setBatchSize(int) - Method in class org.joone.engine.RpropParameters
  Sets the batchsize.
setBeta(double) - Method in class org.joone.engine.ContextLayer
  Setter for property beta.
setBeta(double) - Method in class org.joone.engine.LinearLayer
  Sets the beta value
setBias(Matrix) - Method in class org.joone.engine.Layer
  Sets the matrix of biases
setBias(Matrix) - Method in interface org.joone.engine.NeuralLayer
  Sets the matrix of biases
setBias(Matrix) - Method in class org.joone.net.NestedNeuralLayer
setBias(Matrix) - Method in class org.joone.net.NeuralNet
setBuffered(boolean) - Method in class org.joone.io.InputSwitchSynapse
setBuffered(boolean) - Method in interface org.joone.io.InputSynapse
setBuffered(boolean) - Method in class org.joone.io.MultipleInputSynapse
setBuffered(boolean) - Method in class org.joone.io.StreamInputSynapse
  Sets the buffer-mode for this input synapse.
setBuffered(boolean) - Method in class org.joone.io.StreamOutputSynapse
  Sets the buffered status of this synapse.
setColList() - Method in class org.joone.io.StreamInputSynapse
  Sets the list of columns that must be returned as the pattern Creation date: (18/10/2000 0.45.52)
setColourMode(boolean) - Method in class org.joone.io.ImageInputSynapse
setColourMode(boolean) - Method in class org.joone.io.ImageOutputSynapse
  Sets the colour mode of this synapse.
setComponent(Object[][]) - Method in class org.joone.inspection.implementations.BiasInspection
setComponent(Object[][]) - Method in class org.joone.inspection.implementations.InputsInspection
setComponent(Object[][]) - Method in class org.joone.inspection.implementations.WeightsInspection
setComponent(Object[][]) - Method in interface org.joone.inspection.Inspection
  Sets the array of values for this component
setConnDimensions() - Method in class org.joone.engine.Layer
  Sets the input and output synapses' dimensions
setConnected(boolean) - Method in class org.joone.util.AbstractConverterPlugIn
  Setter for property connected.
setCount(int) - Method in class org.joone.engine.Pattern
setCurrentCicle(int) - Method in class org.joone.engine.Monitor
  Not used
setCurrentGaussianSize(double) - Method in class org.joone.engine.SpatialMap
  Sets the current guassian size of the spatial neighborhood.
setCurrentRow(int) - Method in class org.joone.io.InputConnector
  Sets the current row.
setCycles(int) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Sets the number of cycles.
setCycles(int) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
  Sets the number of cycles.
setDataMax(double) - Method in class org.joone.util.NormalizerPlugIn
  Sets the max value of the input data.
setDataMin(double) - Method in class org.joone.util.NormalizerPlugIn
  Sets the min value of the input data Note : The DataMin and DataMax values should be set to 99999 and -99999 respectively if the user requires that this plugin uses the min , max values found in the serie.
setDateEnd(String) - Method in class org.joone.io.YahooFinanceInputSynapse
  Gets the the data to which data is retrieved.
setDateStart(String) - Method in class org.joone.io.YahooFinanceInputSynapse
  Deprecated. Use setStartDate instead
setdbURL(String) - Method in class org.joone.io.JDBCInputSynapse
  Gets the name of the database Universal Resource Location (URL)
setdbURL(String) - Method in class org.joone.io.JDBCOutputSynapse
  Gets the name of the database Universal Resource Location (URL)
setDecay(double) - Method in class org.joone.engine.extenders.WeightDecayExtender
  Sets the decay parameter.
setDecimalPoint(char) - Method in class org.joone.io.ImageInputTokenizer
setDecimalPoint(char) - Method in class org.joone.io.InputSwitchSynapse
setDecimalPoint(char) - Method in interface org.joone.io.InputSynapse
setDecimalPoint(char) - Method in class org.joone.io.MemoryInputTokenizer
setDecimalPoint(char) - Method in interface org.joone.io.PatternTokenizer
setDecimalPoint(char) - Method in class org.joone.io.StreamInputSynapse
setDecimalPoint(char) - Method in class org.joone.io.StreamInputTokenizer
setDecimalPoint(char) - Method in class org.joone.io.XLSInputTokenizer
setDefaultInput(String) - Method in class org.joone.io.InputSwitchSynapse
  Sets the name of the default input synapse that is connected when the reset method is called
setDefaultOutput(String) - Method in class org.joone.engine.OutputSwitchSynapse
  Sets the name of the default output synapse that is connected when the reset method is called
setDefaultSynapse(OutputPatternListener) - Method in class org.joone.engine.OutputSwitchSynapse
  Setter for property defaultSynapse.
setDefaultSynapse(StreamInputSynapse) - Method in class org.joone.io.InputSwitchSynapse
  Setter for property defaultSynapse.
setDelta(double[][]) - Method in class org.joone.engine.Matrix
  Sets `delta[][]`.
setDescriptor(NeuralNetAttributes) - Method in class org.joone.net.NeuralNet
setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Set the input data stream containing desired training data.
setDesired(StreamInputSynapse) - Method in interface org.joone.engine.learning.ComparingElement
  Setter for the desired data set
setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.ComparingSynapse
setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.ComparisonSynapse
  Set the input data stream containing desired training data
setDesired(StreamInputSynapse) - Method in class org.joone.engine.learning.TeachingSynapse
setDesiredHeight(int) - Method in class org.joone.io.ImageInputSynapse
setDesiredWidth(int) - Method in class org.joone.io.ImageInputSynapse
setDimensions(int, int) - Method in class org.joone.engine.BufferedSynapse
  setDimensions method comment.
setDimensions(int, int) - Method in class org.joone.engine.DelaySynapse
setDimensions(int, int) - Method in class org.joone.engine.DirectSynapse
setDimensions(int, int) - Method in class org.joone.engine.FullSynapse
setDimensions() - Method in class org.joone.engine.Layer
  Sets the dimension of the layer.
setDimensions(int, int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
setDimensions(int, int) - Method in class org.joone.engine.learning.ComparingSynapse
setDimensions(int, int) - Method in class org.joone.engine.learning.ComparisonSynapse
setDimensions(int, int) - Method in class org.joone.engine.learning.TeachingSynapse
setDimensions() - Method in class org.joone.engine.MemoryLayer
setDimensions() - Method in class org.joone.engine.RbfGaussianLayer
setDimensions(int, int) - Method in class org.joone.engine.RbfInputSynapse
setDimensions() - Method in class org.joone.engine.RbfLayer
setDimensions() - Method in class org.joone.engine.SimpleLayer
setDimensions(int, int) - Method in class org.joone.engine.Synapse
  Dimensiona l'elemento
setDimensions(int, int) - Method in class org.joone.io.StreamInputSynapse
setDimensions(int, int) - Method in class org.joone.io.StreamOutputSynapse
  Dimensiona l'elemento
setDimensions() - Method in class org.joone.net.NestedNeuralLayer
setDimensions(int, int) - Method in class org.joone.structure.PatternForwardedSynapse
setdriverName(String) - Method in class org.joone.io.JDBCInputSynapse
  Sets the name of the database jdbc driver.
setdriverName(String) - Method in class org.joone.io.JDBCOutputSynapse
  Sets the name of the database jdbc driver.
setEmbeddedNet(File) - Method in class org.joone.net.NestedNeuralLayer
setEnabled(boolean) - Method in class org.joone.engine.extenders.LearnerExtender
  Sets the mode of this extender.
setEnabled(boolean) - Method in class org.joone.engine.learning.ComparingSynapse
  Setter for property enabled.
setEnabled(boolean) - Method in class org.joone.engine.learning.TeachingSynapse
  Setter for property enabled.
setEnabled(boolean[][]) - Method in class org.joone.engine.Matrix
  Sets `enabled[][]`.
setEnabled(boolean) - Method in interface org.joone.engine.NeuralElement
setEnabled(boolean) - Method in class org.joone.engine.OutputSwitchSynapse
  Setter for property enabled.
setEnabled(boolean) - Method in class org.joone.engine.Synapse
  Setter for property enabled.
setEndDate(Date) - Method in class org.joone.io.YahooFinanceInputSynapse
setEOF(boolean) - Method in class org.joone.io.StreamInputSynapse
setEpsilon(double) - Method in class org.joone.structure.Nakayama
  Sets epsilon, the threshold to decide if a neuron should be deleted or not.
setErrorLevel(double) - Method in class org.joone.engine.listeners.ErrorBasedTerminator
  Sets the error level.
setEtaDec(double) - Method in class org.joone.engine.RpropParameters
  Sets the decremental learning factor/rate.
setEtaInc(double) - Method in class org.joone.engine.RpropParameters
  Sets the incremental learning factor/rate.
setEventMacro(boolean) - Method in class org.joone.script.JooneMacro
  Setter for property system.
setExporting(boolean) - Method in class org.joone.engine.Monitor
  Setter for property exporting.
setFileFilter(String) - Method in class org.joone.io.ImageInputSynapse
setFileName(String) - Method in class org.joone.io.FileInputSynapse
  Deprecated. use setInputFile instead
setFileName(String) - Method in class org.joone.io.FileOutputSynapse
setFileName(String) - Method in class org.joone.io.XLSInputSynapse
  Deprecated. use setInputFile instead
setFileName(String) - Method in class org.joone.io.XLSOutputSynapse
  Sets the XLS file name that this synapse should output data to.
setFilename(String) - Method in class org.joone.util.SnapshotRecorder
  Set the name of the file to which snapshots will be written.
setFirstCol(int) - Method in interface org.joone.io.InputSynapse
setFirstCol(int) - Method in class org.joone.io.StreamInputSynapse
  Deprecated.
setFirstRow(int) - Method in interface org.joone.io.InputSynapse
setFirstRow(int) - Method in class org.joone.io.MultipleInputSynapse
setFirstRow(int) - Method in class org.joone.io.StreamInputSynapse
  Inserire qui la descrizione del metodo.
setFirstTime(boolean) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Sets the first time flag (is it the first time data is forwarded to this teacher).
setFixed(boolean[][]) - Method in class org.joone.engine.Matrix
  Sets `fixed`.
setFlatSpotConstant(double) - Method in class org.joone.engine.SigmoidLayer
  Sets the constant to overcome the flat spot problem.
setFlatSpotConstant(double) - Method in class org.joone.engine.TanhLayer
  Sets the constant to overcome the flat spot problem.
setFormat(String) - Method in class org.joone.util.SnapshotRecorder
  Set the format used for snapshots.
setGaussianParameters(RbfGaussianParameters[]) - Method in class org.joone.engine.RbfGaussianLayer
  Sets the parameters that define the Gaussian RBFs.
setGlobalError(double) - Method in class org.joone.engine.Monitor
  Sets the actual error of the NN
setHeight(int) - Method in class org.joone.io.ImageOutputSynapse
  Sets the desired height of the generated image files.
setIgnoreBefore(int) - Method in class org.joone.engine.Synapse
  Sets the number of the ignored cycles at beginning of each epoch.
setImageDirectory(File) - Method in class org.joone.io.ImageInputSynapse
setImageFileType(int) - Method in class org.joone.io.ImageOutputSynapse
  Sets the image type JPG = 1, GIF = 2, PNG = 3 of the format of the generated image files.
setImageInput(Image[]) - Method in class org.joone.io.ImageInputSynapse
setInDataMax(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Sets the max value of the input data set
setInDataMin(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Sets the min value of the input data set
setInitialDelta(double) - Method in class org.joone.engine.RpropParameters
  Sets the initial delta for all delta's.
setInitialGaussianSize(double) - Method in class org.joone.engine.GaussianLayer
  Setter for property initialGaussianSize.
setInitialGaussianSize(double) - Method in class org.joone.engine.SpatialMap
  Sets the initial guassian size of the spatial neighborhood.
setInputArray(double[][]) - Method in class org.joone.io.MemoryInputSynapse
  Setter for property inputArray.
setInputDimension(InputPatternListener) - Method in class org.joone.engine.Layer
  Sets the dimension of the listener passed as parameter.
setInputDimension(int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
setInputDimension(int) - Method in class org.joone.engine.learning.ComparingSynapse
  setInputDimension method.
setInputDimension(int) - Method in class org.joone.engine.learning.ComparisonSynapse
setInputDimension(int) - Method in class org.joone.engine.learning.TeachingSynapse
  setInputDimension method.
setInputDimension(int) - Method in interface org.joone.engine.OutputPatternListener
  Sets the dimension of the output synapse
setInputDimension(int) - Method in class org.joone.engine.OutputSwitchSynapse
  Sets the dimension of the output synapse
setInputDimension(int) - Method in class org.joone.engine.Synapse
  Sets the input dimension of the synapse
setInputFile(File) - Method in class org.joone.io.FileInputSynapse
setInputFile(File) - Method in class org.joone.io.XLSInputSynapse
setInputFull(boolean) - Method in interface org.joone.engine.InputPatternListener
setInputFull(boolean) - Method in class org.joone.engine.Synapse
  Setter for property inputFull.
setInputLayer(Layer) - Method in class org.joone.net.NeuralNet
setInputPatterns(Vector) - Method in class org.joone.io.StreamInputSynapse
  Setter for property inputPatterns.
setInputSynapse(StreamInputSynapse) - Method in class org.joone.io.InputConnector
  Attach a `StreamInputSynapse` to this connector.
setInputSynapses(ArrayList) - Method in class org.joone.engine.Layer
  Sets the Vector that contains all the input listeners.
setInputVector(Vector) - Method in class org.joone.util.AbstractConverterPlugIn
  Sets the input vector of `Patterns` that this converter plugin should process.
setK(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Sets the noise decay constant.
setLastCol(int) - Method in interface org.joone.io.InputSynapse
setLastCol(int) - Method in class org.joone.io.StreamInputSynapse
  Deprecated.
setLastEpoch(int) - Method in class org.joone.net.NeuralNetAttributes
setLastRow(int) - Method in interface org.joone.io.InputSynapse
setLastRow(int) - Method in class org.joone.io.MultipleInputSynapse
setLastRow(int) - Method in class org.joone.io.StreamInputSynapse
  Inserire qui la descrizione del metodo.
setLayerDepth(int) - Method in class org.joone.engine.GaussianLayer
  Setter for property LayerDepth.
setLayerDepth(int) - Method in class org.joone.engine.WTALayer
  Setter for property LayerDepth.
setLayerHeight(int) - Method in class org.joone.engine.GaussianLayer
  Setter for property LayerHeight.
setLayerHeight(int) - Method in class org.joone.engine.WTALayer
  Setter for property LayerHeight.
setLayerName(String) - Method in class org.joone.engine.Layer
  Sets the name of the layer
setLayerName(String) - Method in interface org.joone.engine.NeuralLayer
  Sets the name of the layer
setLayerName(String) - Method in class org.joone.net.NestedNeuralLayer
setLayerName(String) - Method in class org.joone.net.NeuralNet
setLayers(Vector) - Method in class org.joone.net.NeuralNet
  Permits to initialize a neural network with a Vector containing layers.
setLayersList(ArrayList) - Method in class org.joone.net.NeuralNet
  Permits to initialize a neural network with an ArrayList containing layers.
setLayerWidth(int) - Method in class org.joone.engine.GaussianLayer
  Setter for property LayerWidth.
setLayerWidth(int) - Method in class org.joone.engine.WTALayer
  Setter for property LayerWidth.
setLearner(ExtendableLearner) - Method in class org.joone.engine.extenders.LearnerExtender
  Sets the learner.
setLearnerFactory(LearnerFactory) - Method in class org.joone.engine.Monitor
  Set learner factory.
setLearners(List) - Method in class org.joone.engine.Monitor
  Setter for property learners.
setLearning(boolean) - Method in class org.joone.engine.Monitor
  Sets the phase of the neural network: learning (true) or recall (false)
setLearning(boolean) - Method in class org.joone.net.NestedNeuralLayer
  Setter for property learning.
setLearningMode(int) - Method in class org.joone.engine.Monitor
  Setter for property learningMode.
setLearningRate(double) - Method in class org.joone.engine.Monitor
  Sets the learning rate
setLearningRate(double) - Method in class org.joone.engine.Synapse
  Sets the value of the learning rate
setLearningRateFinal(double) - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
setLearningRateInitial(double) - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
setListeners(Vector) - Method in class org.joone.net.NeuralNet
setLoopBack(boolean) - Method in class org.joone.engine.Synapse
  Setter for property loopBack.
setLowerBit(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Sets the lower bit.
setLowerBit(double) - Method in class org.joone.util.ToBinaryPlugin
  Sets the value for the lower bit.
setLowerBitPercentage(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Sets the lower bit percentage.
setLowerBound(double) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Sets the lower bound.
setLowerBound(double) - Method in class org.joone.engine.weights.RandomWeightInitializer
  Sets the lower bound.
setLrate(double) - Method in class org.joone.engine.SimpleLayer
  Needed for Save As XML
setM_cols(int) - Method in class org.joone.engine.Matrix
  Sets `m_cols`.
setM_rows(int) - Method in class org.joone.engine.Matrix
  Sets `m_rows`.
setMacroManager(MacroManager) - Method in interface org.joone.script.MacroInterface
  Setter for property macroManager.
setMacroManager(MacroManager) - Method in class org.joone.util.GroovyMacroPlugin
  Setter for property macroManager.
setMacroManager(MacroManager) - Method in class org.joone.util.MacroPlugin
  Setter for property macroManager.
setMacroPlugin(MacroInterface) - Method in class org.joone.net.NeuralNet
  Setter for property macroPlugin.
setMapDepth(int) - Method in class org.joone.engine.SpatialMap
  Sets the depth of this spatial map.
setMapDimensions(int, int, int) - Method in class org.joone.engine.SpatialMap
  Sets the dimensions of the spatial map.
setMapHeight(int) - Method in class org.joone.engine.SpatialMap
  Sets the height of this spatial map.
setMapWidth(int) - Method in class org.joone.engine.SpatialMap
  Sets the width of this spatial map.
setMax(double) - Method in class org.joone.util.NormalizerPlugIn
  Sets the max value of the normalization range Creation date: (23/10/2000 23.25.55)
setMaxBufSize(int) - Method in class org.joone.io.StreamInputSynapse
  Setter for property maxBufSize.
setMaxDelta(double) - Method in class org.joone.engine.RpropParameters
  Sets the maximum allowed delta value.
setMean(double[]) - Method in class org.joone.engine.RbfGaussianParameters
  Sets the mean (center) of the Gaussian RBF.
setMessage(String) - Method in class org.joone.net.NetCheck
  Setter for the error message
setMin(double) - Method in class org.joone.util.NormalizerPlugIn
  Sets the min value of the normalization range Creation date: (23/10/2000 23.25.32)
setMinChangePercentage(double) - Method in class org.joone.util.MinMaxExtractorPlugIn
  Set the min percentage of change accepted to consider a point as a turning point (29/09/00 18.46.53)
setMinDelta(double) - Method in class org.joone.engine.RpropParameters
  Sets the minimum allowed delta value.
setMomentum(double) - Method in class org.joone.engine.Monitor
  Sets the momentum
setMomentum(double) - Method in class org.joone.engine.SimpleLayer
  Needed for Save As XML
setMomentum(double) - Method in class org.joone.engine.Synapse
  Sets the value of the momentum rate
setMomentumFinal(double) - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
setMomentumInitial(double) - Method in class org.joone.util.LinearAnnealing
  Insert the method's description here.
setMonitor(Monitor) - Method in class org.joone.engine.AbstractLearner
  Override this method to get the needed parameters from the Monitor object passed as parameter
setMonitor(Monitor) - Method in class org.joone.engine.KohonenSynapse
  Sets the Monitor object of the synapse
setMonitor(Monitor) - Method in class org.joone.engine.Layer
  Sets the monitor object
setMonitor(Monitor) - Method in interface org.joone.engine.Learner
  Used to set the parameters used by this Learner
setMonitor(Monitor) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Sets the Monitor object of the Teacher Synapse.
setMonitor(Monitor) - Method in class org.joone.engine.learning.ComparingSynapse
  Data di creazione: (06/04/00 23.33.24)
setMonitor(Monitor) - Method in class org.joone.engine.learning.ComparisonSynapse
  Sets the Monitor object of the Teacher Synapse.
setMonitor(Monitor) - Method in class org.joone.engine.learning.TeachingSynapse
  Inserire qui la descrizione del metodo.
setMonitor(Monitor) - Method in interface org.joone.engine.NeuralElement
  Sets the Monitor object of the output synapse
setMonitor(Monitor) - Method in interface org.joone.engine.NeuralLayer
  Sets the monitor object
setMonitor(Monitor) - Method in class org.joone.engine.OutputSwitchSynapse
  Sets the Monitor object of the input synapse
setMonitor(Monitor) - Method in class org.joone.engine.SimpleLayer
setMonitor(Monitor) - Method in class org.joone.engine.Synapse
  Sets the Monitor object of the synapse
setMonitor(Monitor) - Method in class org.joone.io.InputConnector
setMonitor(Monitor) - Method in class org.joone.io.InputSwitchSynapse
  Sets the Monitor object of the input synapse
setMonitor(Monitor) - Method in class org.joone.net.NestedNeuralLayer
setMonitor(Monitor) - Method in class org.joone.net.NeuralNet
setN(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Sets the constant controlling the initial noise.
setName(String) - Method in class org.joone.engine.learning.ComparingSynapse
setName(String) - Method in class org.joone.engine.learning.TeachingSynapse
setName(String) - Method in interface org.joone.engine.NeuralElement
  Sets the name of the output synapse
setName(String) - Method in class org.joone.engine.OutputSwitchSynapse
  Sets the name of the output synapse
setName(String) - Method in class org.joone.engine.Synapse
  Sets the name of the synapse
setName(String) - Method in class org.joone.io.InputSwitchSynapse
  Sets the name of the input synapse
setName(String) - Method in class org.joone.script.JooneMacro
  Setter for property name.
setName(String) - Method in class org.joone.util.AbstractConverterPlugIn
  Sets the name of this plug-in object.
setName(String) - Method in class org.joone.util.MonitorPlugin
  Setter for property name.
setNestedNeuralNet(NeuralNet) - Method in class org.joone.net.NestedNeuralLayer
  Setter for property NestedNeuralNet.
setNeuralNet(NeuralNet) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Sets the neural network to be checked for convergence.
setNeuralNet(NeuralNet) - Method in class org.joone.engine.NeuralNetEvent
  Setter for the NeuralNet generating this event.
setNeuralNet(String) - Method in class org.joone.net.NestedNeuralLayer
setNeuralNet(NeuralNet) - Method in class org.joone.util.MonitorPlugin
setNeuralNetName(String) - Method in class org.joone.net.NeuralNetAttributes
  Setter for property neuralNetName.
setNextPlugin(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn
  Deprecated. `AbstractConverterPlugIn.addPlugIn(AbstractConverterPlugIn)`
setNextPlugIn(AbstractConverterPlugIn) - Method in class org.joone.util.AbstractConverterPlugIn
  Added for XML serialization **** DO NOT USE **** Use `AbstractConverterPlugIn.addPlugIn(AbstractConverterPlugIn)`
setNnet(NeuralNet) - Method in class org.joone.util.NeuralNetRunner
setOrderedLayers(Layer[]) - Method in class org.joone.net.NeuralNet
  This method permits to set externally a particular order to traverse the Layers.
setOrderingPhase(int) - Method in class org.joone.engine.GaussianLayer
  Setter for property orderingPhase.
setOrderingPhase(int) - Method in class org.joone.engine.KohonenSynapse
  Setter for property orderingPhase.
setOrderingPhase(int) - Method in class org.joone.engine.SpatialMap
  Setter for property orderingPhase.
setOutArray(double[]) - Method in class org.joone.engine.Pattern
  Setter for property outArray.
setOutDataMax(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Sets the new max value for the output data set.
setOutDataMin(double) - Method in class org.joone.util.UnNormalizerOutputPlugIn
  Sets the new min value for the output data set.
setOutputDimension(int) - Method in interface org.joone.engine.InputPatternListener
  Sets the dimension of the input synapse
setOutputDimension(OutputPatternListener) - Method in class org.joone.engine.Layer
  Sets the dimension of the listener passed as parameter.
setOutputDimension(OutputPatternListener) - Method in class org.joone.engine.MemoryLayer
  Sets the dimansion of the output (22/03/00 1.45.24)
setOutputDimension(int) - Method in class org.joone.engine.Synapse
  Sets the output dimension of the synapse
setOutputDimension(int) - Method in class org.joone.io.InputSwitchSynapse
  Sets the dimension of the input synapse
setOutputDirectory(String) - Method in class org.joone.io.ImageOutputSynapse
  Sets the name of the directory where Image files will be created.
setOutputFull(boolean) - Method in class org.joone.engine.learning.ComparingSynapse
  Setter for property outputFull.
setOutputFull(boolean) - Method in class org.joone.engine.learning.TeachingSynapse
  Setter for property outputFull.
setOutputFull(boolean) - Method in interface org.joone.engine.OutputPatternListener
setOutputFull(boolean) - Method in class org.joone.engine.OutputSwitchSynapse
  Setter for property outputFull.
setOutputFull(boolean) - Method in class org.joone.engine.Synapse
  Setter for property outputFull.
setOutputLayer(Layer) - Method in class org.joone.net.NeuralNet
setOutputSynapses(ArrayList) - Method in class org.joone.engine.Layer
  Sets the Vector that contains all the output listeners.
setParam(String, Object) - Method in class org.joone.engine.Monitor
  Sets a custom parameter of the Monitor.
setParam(String, Object) - Method in class org.joone.net.NeuralNet
  Sets a custom parameter of the neural net.
setParameters(RpropParameters) - Method in class org.joone.engine.extenders.RpropExtender
  Sets the parameters for this learning algorithm.
setParameters(RpropParameters) - Method in class org.joone.engine.RpropLearner
setParent(Monitor) - Method in class org.joone.engine.Monitor
  Setter for property parent.
setParentClass(Class) - Method in interface org.joone.log.ILogger
setParentClass(Class) - Method in class org.joone.log.JooneLogger
setParentClass(Class) - Method in class org.joone.log.Log4JLogger
setPattern(Pattern) - Method in class org.joone.util.OutputConverterPlugIn
  Sets the current pattern to convert.
setPercentage(double) - Method in class org.joone.engine.listeners.ErrorBasedConvergenceObserver
  Sets the percentage.
setPeriod(String) - Method in class org.joone.io.YahooFinanceInputSynapse
  Sets the period with which to retrieve data should be one of "Daily" or "Monthly" or "Yearly".
setPlugin(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse
  Deprecated. `StreamInputSynapse.addPlugIn(ConverterPlugIn)`. If you want to replace the plug in by setting a new plug in please use `#removeAllPlugIns(ConverterPlugIn)` and `StreamInputSynapse.addPlugIn(ConverterPlugIn)`.
setPlugIn(ConverterPlugIn) - Method in class org.joone.io.StreamInputSynapse
  Added for XML serialization **** DO NOT USE **** Use getPlugin instead
setPlugIn(OutputConverterPlugIn) - Method in class org.joone.io.StreamOutputSynapse
  Deprecated. use `StreamOutputSynapse.addPlugIn(OutputConverterPlugIn)`
setPreLearning(int) - Method in class org.joone.engine.Monitor
  Sets the initial ignored input patterns (during the training phase)
setRandomBoundary(double) - Method in class org.joone.engine.extenders.SimulatedAnnealingExtender
  Sets the noise decay constant.
setRate(int) - Method in class org.joone.util.MonitorPlugin
  Setter for property rate.
setRows(int) - Method in class org.joone.engine.Layer
  Sets the dimension (# of neurons) of the Layer
setRows(int) - Method in interface org.joone.engine.NeuralLayer
  Sets the dimension (# of neurons) of the Layer
setRows(int) - Method in class org.joone.net.NestedNeuralLayer
setRows(int) - Method in class org.joone.net.NeuralNet
setScriptingEnabled(boolean) - Method in class org.joone.net.NeuralNet
  Enable/disable the scripting engine for the net.
setSeenPatterns(int) - Method in class org.joone.engine.learning.AbstractTeacherSynapse
  Set the value of the number of patterns seen during the current epoch.
setSeparator(char) - Method in class org.joone.io.StreamOutputSynapse
  Inserire qui la descrizione del metodo.
setSeverity(int) - Method in class org.joone.net.NetCheck
  Setter for the error severity
setSheetName(String) - Method in class org.joone.io.XLSInputSynapse
  Sets the name of the sheet within the XLS file to extract input data from.
setSheetName(String) - Method in class org.joone.io.XLSOutputSynapse
  Sets the sheet name within the XLS file that this synapse should write data to.
setSingleThread(Thread) - Method in class org.joone.net.NeuralNet
setSingleThreadMode(boolean) - Method in class org.joone.engine.Monitor
setSize(double) - Method in class org.joone.engine.listeners.DeltaBasedConvergenceObserver
  Sets the size.
setSource(Object) - Method in class org.joone.net.NetCheck
  Setter for the object that caused the error
setSQLAmendment(String) - Method in class org.joone.io.JDBCOutputSynapse
  Sets the SQLAmendment attribute of the JDBCInputSynapse object
setSQLQuery(String) - Method in class org.joone.io.JDBCInputSynapse
  Sets the sQLQuery attribute of the JDBCInputSynapse object
setSqrtFanIn(boolean) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Sets the flag indicating the mode of the fan-in to use.
setStartCol(int) - Method in class org.joone.io.XLSOutputSynapse
  Set the starting col (0 based) of the XLS sheet.
setStartDate(Date) - Method in class org.joone.io.YahooFinanceInputSynapse
setStartRow(int) - Method in class org.joone.io.XLSOutputSynapse
  Set the starting row (0 based) of the XLS sheet.
setStdDeviation(double) - Method in class org.joone.engine.RbfGaussianParameters
  Sets the standard deviation (sigma) of the Gaussian RBF.
setStep(double) - Method in class org.joone.util.DynamicAnnealing
  Setter for property step.
setStepCounter(boolean) - Method in class org.joone.io.InputSwitchSynapse
setStepCounter(boolean) - Method in interface org.joone.io.InputSynapse
  Set to true if this input layer is an active counter of the steps.
setStepCounter(boolean) - Method in class org.joone.io.StreamInputSynapse
  Inserire qui la descrizione del metodo.
setSupervised(boolean) - Method in class org.joone.engine.Monitor
  Setter for property supervised.
setSymbol(String) - Method in class org.joone.io.YahooFinanceInputSynapse
  Deprecated. Use setEndDate instead
setTaps(int) - Method in class org.joone.engine.DelaySynapse
  Inserire qui la descrizione del metodo.
setTaps(int) - Method in class org.joone.engine.MemoryLayer
  Inserire qui la descrizione del metodo.
setTeacher(ComparingElement) - Method in class org.joone.net.NeuralNet
  Sets the Teacher for this NeuralNet object
setText(String) - Method in class org.joone.script.JooneMacro
  Setter for property text.
setTheComparisonSynapse(ComparisonSynapse) - Method in class org.joone.engine.learning.ComparingSynapse
  Needed for Save as XML
setTheLinearLayer(LinearLayer) - Method in class org.joone.engine.learning.ComparingSynapse
  Needed for Save as XML
setTheLinearLayer(LinearLayer) - Method in class org.joone.engine.learning.TeachingSynapse
  Needed for Save as XML
setTheTeacherSynapse(TeacherSynapse) - Method in class org.joone.engine.learning.TeachingSynapse
  Needed for Save as XML
setTimeConstant(double) - Method in class org.joone.engine.ContextLayer
  Setter for property timeConstant.
setTimeConstant(double) - Method in class org.joone.engine.GaussianLayer
  Setter for property timeConstant.
setTimeConstant(double) - Method in class org.joone.engine.KohonenSynapse
  Setter for property timeConstant.
setTimeConstant(double) - Method in class org.joone.engine.SpatialMap
  Setter for property TimeConstant.
setTokens(PatternTokenizer) - Method in class org.joone.io.StreamInputSynapse
setTotCicles(int) - Method in class org.joone.engine.Monitor
  Sets the total number of epochs
setTrainingDataForValidation(boolean) - Method in class org.joone.engine.Monitor
  Setter for the property trainingDataForValidation.
setTrainingError(double) - Method in class org.joone.net.NeuralNetAttributes
  Setter for property trainingError.
setTrainingPatterns(int) - Method in class org.joone.engine.Monitor
  Sets the number of the input training patterns
setTrainingSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch
  Setter for property trainingSet.
setUpdateWeightExtender(UpdateWeightExtender) - Method in class org.joone.engine.ExtendableLearner
  Sets an update weight extender.
setUpperBit(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Sets the upper bit.
setUpperBit(double) - Method in class org.joone.util.ToBinaryPlugin
  Sets the value for the upper bit.
setUpperBitPercentage(double) - Method in class org.joone.engine.learning.FahlmanTeacherSynapse
  Sets the upper bit percentage.
setUpperBound(double) - Method in class org.joone.engine.weights.FanInBasedWeightInitializer
  Sets the upper bound.
setUpperBound(double) - Method in class org.joone.engine.weights.RandomWeightInitializer
  Sets the upper bound.
setURL(String) - Method in class org.joone.io.URLInputSynapse
  Sets the URL to extract input data from.
setUseRMSE(boolean) - Method in class org.joone.engine.Monitor
  Uses the RMSE when set to true.
setValidation(boolean) - Method in class org.joone.engine.Monitor
  Setter for property validation.
setValidationError(double) - Method in class org.joone.net.NeuralNetAttributes
  Setter for property validationError.
setValidationPatterns(int) - Method in class org.joone.engine.Monitor
  Sets the number of the input validation patterns
setValidationSet(StreamInputSynapse) - Method in class org.joone.util.LearningSwitch
  Setter for property validationSet.
setValue(double[][]) - Method in class org.joone.engine.Matrix
  Sets `value[][]`.
setValue(int, double) - Method in class org.joone.engine.Pattern
setValues(double[]) - Method in class org.joone.engine.Pattern
  Setter for property values.
setWeightInitializer(WeightInitializer) - Method in class org.joone.engine.Matrix
  Sets the weight initializer and initializes the weights.
setWeightInitializer(WeightInitializer, boolean) - Method in class org.joone.engine.Matrix
  Sets the weight initializer.
setWeights(Matrix) - Method in interface org.joone.engine.LearnableSynapse
setWeights(Matrix) - Method in class org.joone.engine.Synapse
  Setter for the internal matrix of weights
setWidth(int) - Method in class org.joone.io.ImageOutputSynapse
  Sets the desired width of the generated image files.
ShufflePlugin - Class in org.joone.util
  This plugin shuffles the content of the input buffer by mixing randomly the rows.
ShufflePlugin() - Constructor for class org.joone.util.ShufflePlugin
  Creates a new instance of ShufflePlugin
ShufflePluginBeanInfo - Class in org.joone.util
ShufflePluginBeanInfo() - Constructor for class org.joone.util.ShufflePluginBeanInfo
SigmoidLayer - Class in org.joone.engine
  The output of a sigmoid layer neuron is the sum of the weighted input values, applied to a sigmoid function.
SigmoidLayer() - Constructor for class org.joone.engine.SigmoidLayer
  The constructor
SigmoidLayer(String) - Constructor for class org.joone.engine.SigmoidLayer
  The constructor
sign(double) - Method in class org.joone.engine.extenders.RpropExtender
  Gets the sign of a double.
sign(double) - Method in class org.joone.engine.RpropLearner
  Gets the sign of a double.
SimpleLayer - Class in org.joone.engine
  This abstract class represents layers that are composed by neurons that implement some transfer function.
SimpleLayer() - Constructor for class org.joone.engine.SimpleLayer
  The constructor
SimpleLayer(String) - Constructor for class org.joone.engine.SimpleLayer
  The constructor
SimpleLayerBeanInfo - Class in org.joone.engine
SimpleLayerBeanInfo() - Constructor for class org.joone.engine.SimpleLayerBeanInfo
SimulatedAnnealingExtender - Class in org.joone.engine.extenders
  Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response.
SimulatedAnnealingExtender() - Constructor for class org.joone.engine.extenders.SimulatedAnnealingExtender
  Creates a new instance of SimulatedAnnealingExtender
SineLayer - Class in org.joone.engine
  The output of a sine layer neuron is the sum of the weighted input values, applied to a sine (`sin(x)`).
SineLayer() - Constructor for class org.joone.engine.SineLayer
  Creates a new instance of SineLayer
SineLayer(String) - Constructor for class org.joone.engine.SineLayer
  Creates a new instance of SineLayer
singleStepBackward(Pattern) - Method in class org.joone.net.NeuralNet
singleStepForward(Pattern) - Method in class org.joone.net.NeuralNet
SnapshotFormatEditor - Class in org.joone.util
  A property editor for the `format` property of a `SnapshotRecorder` plugin.
SnapshotFormatEditor() - Constructor for class org.joone.util.SnapshotFormatEditor
SnapshotPlugin - Class in org.joone.util
  A SnapshotPlugin manages the generation of snapshots of the network's state at regular intervals during its activity.
SnapshotPlugin() - Constructor for class org.joone.util.SnapshotPlugin
  Creates a new SnapshotPlugin object.
SnapshotRecorder - Class in org.joone.util
  A SnapshotRecorder serves to create and record snapshots of a neural network in a file as a serie of serialized objects graphs.
SnapshotRecorder() - Constructor for class org.joone.util.SnapshotRecorder
SnapshotRecorderBeanInfo - Class in org.joone.util
SnapshotRecorderBeanInfo() - Constructor for class org.joone.util.SnapshotRecorderBeanInfo
SoftmaxLayer - Class in org.joone.engine
  The outputs of the Softmax layer must be interpreted as probabilities.
SoftmaxLayer() - Constructor for class org.joone.engine.SoftmaxLayer
  Creates a new instance of SoftmaxLayer
source(String) - Method in class org.joone.script.JooneGroovyScript
source(String) - Method in class org.joone.script.JooneScript
SpatialMap - Class in org.joone.engine
  SpatialMap is intended to be an abstract spatial map for use with a GaussianLayer.
SpatialMap() - Constructor for class org.joone.engine.SpatialMap
start() - Method in class org.joone.engine.AbstractEventNotifier
start() - Method in class org.joone.engine.GaussianLayer
start() - Method in class org.joone.engine.Layer
  Starts the Layer
start() - Method in interface org.joone.engine.NeuralLayer
  Starts the Layer
start() - Method in class org.joone.net.NestedNeuralLayer
start() - Method in class org.joone.net.NeuralNet
  Starts all the Layers' threads, in order to prepare the launch of the neural network in multi-thread mode.
start() - Method in class org.joone.net.NeuralNetValidator
  Starts the validation into a separated thread
step - Variable in class org.joone.engine.Layer
  The step number of the network run.
stepBackward(Pattern) - Method in class org.joone.net.NeuralNet
stepForward(Pattern) - Method in class org.joone.net.NeuralNet
stop() - Method in class org.joone.engine.Layer
  Stops the Layer
stop() - Method in class org.joone.engine.learning.ComparingSynapse
stop() - Method in class org.joone.engine.learning.TeachingSynapse
Stop() - Method in class org.joone.engine.Monitor
  Stops the NN when running in multi-thread mode.
stop() - Method in class org.joone.net.NestedNeuralLayer
stop() - Method in class org.joone.net.NeuralNet
  Terminates the execution of this NeuralNet independently from the threading mode activated.
STOP_FLAG - Static variable in class org.joone.engine.Layer
  Stop flag.
stopFastRun() - Method in class org.joone.net.NeuralNet
stopTheNet() - Method in class org.joone.engine.learning.AbstractTeacherSynapse
stopTheNet() - Method in class org.joone.engine.learning.ComparisonSynapse
storeWeightsBiases() - Method in class org.joone.engine.extenders.BatchModeExtender
storeWeightsBiases() - Method in class org.joone.engine.extenders.OnlineModeExtender
storeWeightsBiases() - Method in class org.joone.engine.extenders.UpdateWeightExtender
  Checks if the weights or biases will be stored this cycle.
StreamInputFactory - Class in org.joone.io
StreamInputFactory() - Constructor for class org.joone.io.StreamInputFactory
StreamInputSynapse - Class in org.joone.io
StreamInputSynapse() - Constructor for class org.joone.io.StreamInputSynapse
StreamInputSynapseBeanInfo - Class in org.joone.io
StreamInputSynapseBeanInfo() - Constructor for class org.joone.io.StreamInputSynapseBeanInfo
StreamInputTokenizer - Class in org.joone.io
StreamInputTokenizer(Reader) - Constructor for class org.joone.io.StreamInputTokenizer
  Creates new StreamInputTokenizer
StreamInputTokenizer(Reader, int) - Constructor for class org.joone.io.StreamInputTokenizer
  Creates new StreamInputTokenizer
StreamOutputSynapse - Class in org.joone.io
StreamOutputSynapse() - Constructor for class org.joone.io.StreamOutputSynapse
StreamOutputSynapseBeanInfo - Class in org.joone.io
StreamOutputSynapseBeanInfo() - Constructor for class org.joone.io.StreamOutputSynapseBeanInfo
sumBackInput(double[]) - Method in class org.joone.engine.Layer
  Calculates the net input of the error gradents during the learning phase
sumBackInput(double[]) - Method in class org.joone.engine.MemoryLayer
sumInput(double[]) - Method in class org.joone.engine.Layer
  Calculates the net input of the values in the recall phase
Symbol - Variable in class org.joone.io.YahooFinanceInputSynapse
Synapse - Class in org.joone.engine
  The Synapse is the connection element between two Layer objects.
Synapse() - Constructor for class org.joone.engine.Synapse
  The constructor
SynapseBeanInfo - Class in org.joone.engine
SynapseBeanInfo() - Constructor for class org.joone.engine.SynapseBeanInfo

## T

TanhLayer - Class in org.joone.engine
  Layer that applies the tangent hyperbolic transfer function to its input patterns
TanhLayer() - Constructor for class org.joone.engine.TanhLayer
  default constructor
TanhLayer(String) - Constructor for class org.joone.engine.TanhLayer
TanhLayerBeanInfo - Class in org.joone.engine
TanhLayerBeanInfo() - Constructor for class org.joone.engine.TanhLayerBeanInfo
TeacherSynapse - Class in org.joone.engine.learning
  Final element of a neural network; it permits to calculate both the error of the last training cycle and the vector containing the error pattern to apply to the net to calculate the backprop algorithm.
TeacherSynapse() - Constructor for class org.joone.engine.learning.TeacherSynapse
TeacherSynapseBeanInfo - Class in org.joone.engine.learning
TeacherSynapseBeanInfo() - Constructor for class org.joone.engine.learning.TeacherSynapseBeanInfo
TeachingSynapse - Class in org.joone.engine.learning
TeachingSynapse() - Constructor for class org.joone.engine.learning.TeachingSynapse
TeachingSynapse(TeacherSynapse) - Constructor for class org.joone.engine.learning.TeachingSynapse
  Creates a TeachingSynapse
TeachingSynapseBeanInfo - Class in org.joone.engine.learning
TeachingSynapseBeanInfo() - Constructor for class org.joone.engine.learning.TeachingSynapseBeanInfo
terminate(boolean) - Method in class org.joone.net.NeuralNet
  Terminates the execution of all the threads of the neural network.
terminate() - Method in class org.joone.net.NeuralNet
  Terminates the execution of all the threads of the neural network.
theDeltaRuleExtenders - Variable in class org.joone.engine.ExtendableLearner
  The list with delta rule extenders, extenders that change the delta w, e.g. momentum term, etc.
theDeltas - Variable in class org.joone.engine.extenders.RpropExtender
  Each weight has its own individual update-value (delta_ij(t)) represented by the next object.
theGradientExtenders - Variable in class org.joone.engine.ExtendableLearner
  The list with gradient extenders, extenders that change the gradient.
thePreviousGradients - Variable in class org.joone.engine.extenders.RpropExtender
  The gradient pattern of the previous epoch (dE(t-1)/dW_ij).
theRpropParameters - Variable in class org.joone.engine.extenders.RpropExtender
  The parameters for the RPROP learning algorithm.
theSummedGradients - Variable in class org.joone.engine.extenders.RpropExtender
  The current som of the gradients of all patterns seen so far.
theTeacherSynapse - Variable in class org.joone.engine.learning.TeachingSynapse
theUpdateWeightExtender - Variable in class org.joone.engine.ExtendableLearner
  The update weight extender, that is, the way to update the weights, online, batch mode, etc.
TimeConstant - Variable in class org.joone.engine.SpatialMap
toBeManaged(Monitor) - Method in class org.joone.util.MonitorPlugin
ToBinaryPlugin - Class in org.joone.util
  This plug-in converts 10-base data to binary format.
ToBinaryPlugin() - Constructor for class org.joone.util.ToBinaryPlugin
  Creates a new instance of ToBinaryPlugin
ToBinaryPlugin(String) - Constructor for class org.joone.util.ToBinaryPlugin
  Creates a new instance of ToBinaryPlugin
ToBinaryPluginBeanInfo - Class in org.joone.util
ToBinaryPluginBeanInfo() - Constructor for class org.joone.util.ToBinaryPluginBeanInfo
tokens - Variable in class org.joone.io.StreamInputSynapse
toString() - Method in class org.joone.engine.Layer
  Produce a String representation of this layer
toString() - Method in class org.joone.net.NetCheck
  Produce a String representation of the check.
toString() - Method in class org.joone.script.JooneMacro

## U

unfixAll() - Method in class org.joone.engine.Matrix
  Unfixes all the weights (or biases) of this matrix.
UnNormalizerOutputPlugIn - Class in org.joone.util
  UnNormalizes the input data within a predefined range.
UnNormalizerOutputPlugIn() - Constructor for class org.joone.util.UnNormalizerOutputPlugIn
  The default UnNormalizerOutputPlugIn constructor.
UnNormalizerOutputPlugIn(String, double, double, double, double) - Constructor for class org.joone.util.UnNormalizerOutputPlugIn
  This constructor enables a new UnNormalizerOutputPlugin to be fully constructed during initialisation.
UnNormalizerOutputPlugInBeanInfo - Class in org.joone.util
UnNormalizerOutputPlugInBeanInfo() - Constructor for class org.joone.util.UnNormalizerOutputPlugInBeanInfo
updateBias(int, double) - Method in class org.joone.engine.ExtendableLearner
  Updates a bias with the calculated delta value.
updateBias(int, double) - Method in class org.joone.engine.extenders.BatchModeExtender
updateBias(int, double) - Method in class org.joone.engine.extenders.OnlineModeExtender
updateBias(int, double) - Method in class org.joone.engine.extenders.UpdateWeightExtender
  Updates a bias with the calculated delta value.
updateCurrentGaussianSize(int) - Method in class org.joone.engine.SpatialMap
  Updates the current Gaussian Size depending on the current epoch and the time constant.
updateWeight(int, int, double) - Method in class org.joone.engine.ExtendableLearner
  Updates a weight with the calculated delta value.
updateWeight(int, int, double) - Method in class org.joone.engine.extenders.BatchModeExtender
updateWeight(int, int, double) - Method in class org.joone.engine.extenders.OnlineModeExtender
updateWeight(int, int, double) - Method in class org.joone.engine.extenders.UpdateWeightExtender
  Updates a weight with the calculated delta value.
UpdateWeightExtender - Class in org.joone.engine.extenders
  This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g. batch mode).
UpdateWeightExtender() - Constructor for class org.joone.engine.extenders.UpdateWeightExtender
  Creates a new instance of UpdateWeightExtender
URLInputSynapse - Class in org.joone.io
  Allows data extraction from the internet or a file specified by a Universal Resource Locator or URL.
URLInputSynapse() - Constructor for class org.joone.io.URLInputSynapse
  The default constructor for this class.
URLInputSynapseBeanInfo - Class in org.joone.io
URLInputSynapseBeanInfo() - Constructor for class org.joone.io.URLInputSynapseBeanInfo
useRandomCenter(StreamInputSynapse) - Method in class org.joone.engine.RbfGaussianLayer
  Sets the Gaussian parameters to centers chosen randomly from the input/training data.
useTrainingData(boolean) - Method in class org.joone.net.NeuralNetValidator
  By default the validator validates a neural network with validation data, however by calling this method before calling the `start()` method, one can decide if the network should be validated with validation data (the parameter `anUse` should be `false`) or by using the training data (the parameter `anUse` should be `true`).

## V

validate() - Method in class org.joone.net.NeuralNetValidator
value - Variable in class org.joone.engine.Matrix
  The values of the weights / biases.
value - Variable in class org.joone.util.MinMaxExtractorPlugIn.PointValue
VISAD_FORMAT - Static variable in class org.joone.util.SnapshotRecorder
  The VisAD snapshot format (NeuralNetData serialized objects graph).

## W

warn(Object) - Method in interface org.joone.log.ILogger
warn(Object, Throwable) - Method in interface org.joone.log.ILogger
warn(Object) - Method in class org.joone.log.JooneLogger
warn(Object, Throwable) - Method in class org.joone.log.JooneLogger
warn(Object) - Method in class org.joone.log.Log4JLogger
warn(Object, Throwable) - Method in class org.joone.log.Log4JLogger
WARNING - Static variable in class org.joone.net.NetCheck
  Non-fatal check severity.
WeightDecayExtender - Class in org.joone.engine.extenders
  Weight decay adds a penalty term to the error function.
WeightDecayExtender() - Constructor for class org.joone.engine.extenders.WeightDecayExtender
  Creates a new instance of WeightDecayExtender
weightInitializer - Variable in class org.joone.engine.Matrix
  The weight initializer that is used by this class.
WeightInitializer - Interface in org.joone.engine.weights
  This interface desribes the methods that needs to be implemented in order to create new weight (or bias) initializers.
WeightsInspection - Class in org.joone.inspection.implementations
WeightsInspection(Matrix) - Constructor for class org.joone.inspection.implementations.WeightsInspection
weightsUpdateCorrelation(List, List, int, int) - Method in class org.joone.structure.Nakayama
  Updates weights before a neuron is removed (because of its similar correlation).
weightsUpdateVariance(int, int, int) - Method in class org.joone.structure.Nakayama
  Updates weights before a neuron is removed (because of its low variance).
write(Pattern) - Method in class org.joone.io.FileOutputSynapse
  Writes to the printer object.
write(Pattern) - Method in class org.joone.io.ImageOutputSynapse
  Writes the Neural Network pattern to an Image file, the Image type is specified by the ImageFileType property.
write(Pattern) - Method in class org.joone.io.JDBCOutputSynapse
  Writes the pattern data to the database specified in the dbURL.
write(Pattern) - Method in class org.joone.io.MemoryOutputSynapse
  Custom Synapses need to implement at least this method.
write(Pattern) - Method in class org.joone.io.StreamOutputSynapse
  Custom xxxOutputSynapses need to implement at least this method.
write(Pattern) - Method in class org.joone.io.XLSOutputSynapse
  Writes a Pattern to the XLS file.
writeNnet() - Method in class org.joone.util.NeuralNetRunner
writeObjectBase(ObjectOutputStream) - Method in class org.joone.io.StreamInputSynapse
WTALayer - Class in org.joone.engine
  This layer implements the Winner Takes All SOM strategy.
WTALayer() - Constructor for class org.joone.engine.WTALayer
  The default constructor for this WTALayer.
WTALayer(String) - Constructor for class org.joone.engine.WTALayer
  The constructor allowing a name to be specified.
WTALayerBeanInfo - Class in org.joone.engine
WTALayerBeanInfo() - Constructor for class org.joone.engine.WTALayerBeanInfo

## X

XLSInputSynapse - Class in org.joone.io
  This class allows data to be presented to the network from an Excel XLS formatted file.
XLSInputSynapse() - Constructor for class org.joone.io.XLSInputSynapse
  The default constructor for this XLSInputSynapse.
XLSInputSynapseBeanInfo - Class in org.joone.io
XLSInputSynapseBeanInfo() - Constructor for class org.joone.io.XLSInputSynapseBeanInfo
XLSInputTokenizer - Class in org.joone.io
XLSInputTokenizer(HSSFSheet) - Constructor for class org.joone.io.XLSInputTokenizer
XLSOutputSynapse - Class in org.joone.io
  This class allows data to be read from an Excel XLS formatted file.
XLSOutputSynapse() - Constructor for class org.joone.io.XLSOutputSynapse
  The default constructor for this XLSOutputSynapse.
XLSOutputSynapseBeanInfo - Class in org.joone.io
XLSOutputSynapseBeanInfo() - Constructor for class org.joone.io.XLSOutputSynapseBeanInfo

## Y

YahooFinanceInputSynapse - Class in org.joone.io
  The YahooFinanceInputSynapse provides support for financial data input from financial markets.
YahooFinanceInputSynapse() - Constructor for class org.joone.io.YahooFinanceInputSynapse
  Constructor for the YahooFinanceInputSynapse object
YahooFinanceInputSynapseBeanInfo - Class in org.joone.io
YahooFinanceInputSynapseBeanInfo() - Constructor for class org.joone.io.YahooFinanceInputSynapseBeanInfo

## Z

zeroPattern() - Method in class org.joone.io.StreamInputSynapse

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