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## Uses of Interface
org.joone.engine.OutputPatternListener

Packages that use OutputPatternListener
org.joone.engine |
org.joone.engine.learning |
org.joone.io |
org.joone.net |
org.joone.structure |
org.joone.util |

Uses of OutputPatternListener in org.joone.engine

Classes in org.joone.engine that implement OutputPatternListener
`class` | `BufferedSynapse` This class implements a synapse that permits to have asynchronous methods to write output patterns.
`class` | `DelaySynapse` This Synapse connects the N input neurons with the M output neurons using a matrix of FIRFilter elements of size NxM.
`class` | `DirectSynapse`
`class` | `FreudRuleFullSynapse`
`class` | `FullSynapse`
`class` | `KohonenSynapse` This is an unsupervised Kohonen Synapse which is a Self Organising Map.
`class` | `OutputSwitchSynapse` This class acts as a switch that can connect its input to one of its connected output synapses.
`class` | `RbfInputSynapse` 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.
`class` | `SangerSynapse` This is the synapse useful to extract the principal components from an input data set.
`class` | `Synapse` The Synapse is the connection element between two Layer objects.

Methods in org.joone.engine that return OutputPatternListener
`protected OutputPatternListener` | `OutputSwitchSynapse.getActiveSynapse()` Getter for property activeSynapse.
`protected OutputPatternListener` | `OutputSwitchSynapse.getDefaultSynapse()` Getter for property defaultSynapse.
`protected OutputPatternListener` | `OutputSwitchSynapse.getOutputSynapse(java.lang.String outputName)`

Methods in org.joone.engine with parameters of type OutputPatternListener
`boolean` | `OutputSwitchSynapse.addOutputSynapse(OutputPatternListener newOutput)` Adds an output synapse to the switch
`boolean` | `NeuralLayer.addOutputSynapse(OutputPatternListener newListener)` Adds a new output synapse to the layer
`boolean` | `Layer.addOutputSynapse(OutputPatternListener newListener)` Adds a new output synapse to the layer
`void` | `NeuralLayer.removeOutputSynapse(OutputPatternListener newListener)` Remove an output listener from the layer
`void` | `Layer.removeOutputSynapse(OutputPatternListener newListener)` Remove an output listener from the layer
`protected void` | `OutputSwitchSynapse.setActiveSynapse(OutputPatternListener activeSynapse)` Setter for property activeSynapse.
`protected void` | `OutputSwitchSynapse.setDefaultSynapse(OutputPatternListener defaultSynapse)` Setter for property defaultSynapse.
`protected void` | `MemoryLayer.setOutputDimension(OutputPatternListener syn)` Sets the dimansion of the output (22/03/00 1.45.24)
`protected void` | `Layer.setOutputDimension(OutputPatternListener syn)` Sets the dimension of the listener passed as parameter.

Uses of OutputPatternListener in org.joone.engine.learning

Subinterfaces of OutputPatternListener in org.joone.engine.learning
`interface` | `ComparingElement` 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'.

Classes in org.joone.engine.learning that implement OutputPatternListener
`class` | `AbstractTeacherSynapse` 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.
`class` | `ComparingSynapse`
`class` | `ComparisonSynapse` 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.
`class` | `FahlmanTeacherSynapse` This class extends the normal Teacher synapse and implements the Fahlman 40-20-40 criterion (the values can be changed).
`class` | `TeacherSynapse` 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.
`class` | `TeachingSynapse`

Methods in org.joone.engine.learning with parameters of type OutputPatternListener
`boolean` | `ComparingSynapse.addResultSynapse(OutputPatternListener listener)`
`boolean` | `ComparingElement.addResultSynapse(OutputPatternListener listener)` Adds an output synapse to which the result must be sent
`boolean` | `TeachingSynapse.addResultSynapse(OutputPatternListener listener)`
`void` | `ComparingSynapse.removeResultSynapse(OutputPatternListener listener)`
`void` | `ComparingElement.removeResultSynapse(OutputPatternListener listener)` Removes an output synapse
`void` | `TeachingSynapse.removeResultSynapse(OutputPatternListener listener)`

Uses of OutputPatternListener in org.joone.io

Classes in org.joone.io that implement OutputPatternListener
`class` | `FileInputSynapse` Allows data to be presented to the network from a file.
`class` | `FileOutputSynapse`
`class` | `ImageInputSynapse` This synapse collects data from Image files or Image objects and feeds the data from the Images into the Neural network.
`class` | `ImageOutputSynapse` This class collects the output from the connected layer and places it into an image file.
`class` | `InputConnector`
`class` | `InputSwitchSynapse` This class acts as a switch that can connect its output to one of its connected input synapses.
`class` | `JDBCInputSynapse` The JDBCInputSynapse provides support for data extraction from a database.
`class` | `JDBCOutputSynapse` The JDBCOutputSynapse provides support for data input to a database.
`class` | `MemoryInputSynapse`
`class` | `MemoryOutputSynapse`
`class` | `MultipleInputSynapse` This class reads sequentially all the connected input synapses, in order to be able to use multiple sources as inputs.
`class` | `StreamInputSynapse`
`class` | `StreamOutputSynapse`
`class` | `URLInputSynapse` Allows data extraction from the internet or a file specified by a Universal Resource Locator or URL.
`class` | `XLSInputSynapse` This class allows data to be presented to the network from an Excel XLS formatted file.
`class` | `XLSOutputSynapse` This class allows data to be read from an Excel XLS formatted file.
`class` | `YahooFinanceInputSynapse` The YahooFinanceInputSynapse provides support for financial data input from financial markets.

Uses of OutputPatternListener in org.joone.net

Methods in org.joone.net with parameters of type OutputPatternListener
`boolean` | `NeuralNet.addOutputSynapse(OutputPatternListener p1)`
`boolean` | `NestedNeuralLayer.addOutputSynapse(OutputPatternListener p1)`
`void` | `NeuralNet.removeOutputSynapse(OutputPatternListener p1)`
`void` | `NestedNeuralLayer.removeOutputSynapse(OutputPatternListener p1)`

Uses of OutputPatternListener in org.joone.structure

Classes in org.joone.structure that implement OutputPatternListener
`(package private) class` | `PatternForwardedSynapse` This class/synapse is only used to inform a Nakayama object whenever a single patterns has been forwarded through the network.

Uses of OutputPatternListener in org.joone.util

Classes in org.joone.util that implement OutputPatternListener
`class` | `LearningSwitch` 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.

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