Uses of Class
org.joone.engine.Synapse

Packages that use Synapse
org.joone.engine   
org.joone.engine.learning   
org.joone.io   
org.joone.structure   
org.joone.util   
 

Uses of Synapse in org.joone.engine
 

Subclasses of Synapse in org.joone.engine
 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
          This is forward-only synapse.
 class FreudRuleFullSynapse
          Deprecated. possible bug in implementation
 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.
 

Fields in org.joone.engine declared as Synapse
protected  Synapse RTRLLearnerPlugin.errorPatternListener
          The synapse we will use to catch the errors
protected  Synapse EKFRNNLearnerPlugin.errorPatternListener
          The synapse we will use to catch the errors
protected  Synapse EKFFFNLearnerPlugin.errorPatternListener
          The synapse that we will attach in order to catch the error
protected  Synapse RTRLLearnerFactory.Weight.synapse
          The joone synapse which is used if this weight is a normal synaptical weight
 

Constructors in org.joone.engine with parameters of type Synapse
RTRLLearnerFactory.Weight(Synapse synapse, int i, int j, int K)
          Initialise this weight from a joone synapse.
 

Uses of Synapse in org.joone.engine.learning
 

Subclasses of Synapse in org.joone.engine.learning
 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 Synapse in org.joone.io
 

Subclasses of Synapse in org.joone.io
 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 Synapse in org.joone.structure
 

Subclasses of Synapse in org.joone.structure
(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.
 

Fields in org.joone.structure declared as Synapse
protected  Synapse NodesAndWeights.Weight.synapse
          The joone synapse which is used if this weight is a normal synaptical weight
 

Methods in org.joone.structure with parameters of type Synapse
protected  Layer Nakayama.findInputLayer(Synapse aSynapse)
          Finds the input layer of a synapse.
protected  Layer Nakayama.findOutputLayer(Synapse aSynapse)
          Finds the output layer of a synapse.
 

Constructors in org.joone.structure with parameters of type Synapse
NodesAndWeights.Weight(Synapse synapse, int i, int j, int I, int J)
          Initialise this weight from a joone synapse.
 

Uses of Synapse in org.joone.util
 

Subclasses of Synapse in org.joone.util
 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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