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

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

Uses of LearnableSynapse in org.joone.engine

Classes in org.joone.engine that implement LearnableSynapse
`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` | `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.

Fields in org.joone.engine declared as LearnableSynapse
`protected LearnableSynapse` | `AbstractLearner.learnableSynapse` The synapse (weights) that is subjected to the learning process.

Methods in org.joone.engine that return LearnableSynapse
`LearnableSynapse` | `AbstractLearner.getSynapse()` Gets the synapse the learner is associated with.

Uses of LearnableSynapse in org.joone.engine.learning

Classes in org.joone.engine.learning that implement LearnableSynapse
`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` | `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.

Uses of LearnableSynapse in org.joone.io

Classes in org.joone.io that implement LearnableSynapse
`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 LearnableSynapse in org.joone.structure

Classes in org.joone.structure that implement LearnableSynapse
`(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 LearnableSynapse in org.joone.util

Classes in org.joone.util that implement LearnableSynapse
`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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