net.sourceforge.cilib.neuralnetwork.generic.neuron
Class NeuronConfig

java.lang.Object
  net.sourceforge.cilib.neuralnetwork.generic.neuron.NeuronConfig

Direct Known Subclasses:

BiasNeuronConfig, DotProductNeuronConfig, MNNNeuronAdapter

public abstract class NeuronConfig
extends Object

Author:

stefanv This class forms the base for any Neuron in a NN topology. It forms the extrinsic state to a NeuronPipeline object. It also keeps track of the Neurons current and previous output and so doing supports recurrent architectures. It forms part of the Generic Framework and should mostly be used "as-is". In specific cases it can be extended, but an extension may not work for all cases...

Constructor Summary

NeuronConfig()

NeuronConfig(int pipeIndex, Type initValC, Type initValT)

NeuronConfig(NeuronConfig[] input, Weight[] inputWeights, boolean[] timeStepMap, int patternInput, Weight patternWeight, Type initialOutput)

Method Summary

abstract Type	computeActivationFunctionDerivativeAtPos(Type pos)
abstract Type	computeActivationFunctionDerivativeUsingLastOutput(Type lastOutput)
abstract Type	computeOutput(NeuronConfig n, NNPattern p)
abstract Type	computeOutputFunctionDerivativeAtPos(Type pos)
abstract Type	computeOutputFunctionDerivativeUsingLastOutput(Type lastOutput)
Type	getCurrentOutput()
NeuronConfig[]	getInput()
Weight[]	getInputWeights()
int	getPatternInputPos()
Weight	getPatternWeight()
boolean[]	getTimeStepMap()
Type	getTminus1Output()
boolean	isOutputNeuron()
void	setCurrentOutput(Type currentOutput)
void	setInput(NeuronConfig[] input)
void	setInputWeights(Weight[] inputWeights)
void	setOutputNeuron(boolean isOutputNeuron)
void	setPatternInputPos(int patternInput)
void	setPatternWeight(Weight patternWeight)
void	setTimeStepMap(boolean[] timeStepMap)
void	setTminus1Output(Type tminus1Output)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NeuronConfig

public NeuronConfig()

NeuronConfig

public NeuronConfig(int pipeIndex,
                    Type initValC,
                    Type initValT)

NeuronConfig

public NeuronConfig(NeuronConfig[] input,
                    Weight[] inputWeights,
                    boolean[] timeStepMap,
                    int patternInput,
                    Weight patternWeight,
                    Type initialOutput)

Method Detail

computeOutput

public abstract Type computeOutput(NeuronConfig n,
                                   NNPattern p)

computeOutputFunctionDerivativeAtPos

public abstract Type computeOutputFunctionDerivativeAtPos(Type pos)

computeOutputFunctionDerivativeUsingLastOutput

public abstract Type computeOutputFunctionDerivativeUsingLastOutput(Type lastOutput)

computeActivationFunctionDerivativeAtPos

public abstract Type computeActivationFunctionDerivativeAtPos(Type pos)

computeActivationFunctionDerivativeUsingLastOutput

public abstract Type computeActivationFunctionDerivativeUsingLastOutput(Type lastOutput)

getCurrentOutput

public Type getCurrentOutput()

getInput

public NeuronConfig[] getInput()

getInputWeights

public Weight[] getInputWeights()

getPatternInputPos

public int getPatternInputPos()

getPatternWeight

public Weight getPatternWeight()

getTimeStepMap

public boolean[] getTimeStepMap()

getTminus1Output

public Type getTminus1Output()

setCurrentOutput

public void setCurrentOutput(Type currentOutput)

setInput

public void setInput(NeuronConfig[] input)

setInputWeights

public void setInputWeights(Weight[] inputWeights)

setPatternInputPos

public void setPatternInputPos(int patternInput)

setPatternWeight

public void setPatternWeight(Weight patternWeight)

setTimeStepMap

public void setTimeStepMap(boolean[] timeStepMap)

setTminus1Output

public void setTminus1Output(Type tminus1Output)

isOutputNeuron

public boolean isOutputNeuron()

setOutputNeuron

public void setOutputNeuron(boolean isOutputNeuron)