org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks.neurosolutions

Class Neuron

java.lang.Object

org.gcube.dataanalysis.ecoengine.models.cores.neuralnetworks.neurosolutions.Neuron

All Implemented Interfaces:

Serializable

public class Neuron
extends Object
implements Serializable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
char	axonfamily
protected double	axonfuncflatness
protected double	cumulthresholddiff
protected double	error
int	id
int	layer
protected double	learningratecoefficient
protected double	momentumrate
Neuron[]	neuronsin
Neuron[]	neuronsout
double	output
Synapse[]	synapsesin
Synapse[]	synapsesout
double	threshold

Constructor Summary

Constructors

Constructor and Description
Neuron(int id)
Neuron(int id, int layer, double axonfuncflatness, char axonfamily, double momentumrate, double learningratecoefficient, Randomizer randomizer)

Method Summary

Methods

Modifier and Type	Method and Description
void	BatchUpdateWeights(int noofepochs)
double	Derivative()
void	HiddenBatchTrain(double rate)
void	HiddenIncrementalTrain(double rate)
void	InsOuts(Neuron[] neuronsin, Neuron[] neuronsout, Synapse[] synapsesin, Synapse[] synapsesout)
void	OutputBatchTrain(double rate, double target)
void	OutputIncrementalTrain(double rate, double target)
void	UpdateOutput()

Methods inherited from class java.lang.Object

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

Field Detail

id

public int id

threshold

public double threshold

layer

public int layer

output

public double output

axonfamily

public char axonfamily

momentumrate

protected double momentumrate

axonfuncflatness

protected double axonfuncflatness

learningratecoefficient

protected double learningratecoefficient

neuronsout

public Neuron[] neuronsout

neuronsin

public Neuron[] neuronsin

synapsesout

public Synapse[] synapsesout

synapsesin

public Synapse[] synapsesin

error

protected double error

cumulthresholddiff

protected double cumulthresholddiff

Constructor Detail

Neuron

public Neuron(int id)

Neuron

public Neuron(int id,
      int layer,
      double axonfuncflatness,
      char axonfamily,
      double momentumrate,
      double learningratecoefficient,
      Randomizer randomizer)

Method Detail

InsOuts

public void InsOuts(Neuron[] neuronsin,
           Neuron[] neuronsout,
           Synapse[] synapsesin,
           Synapse[] synapsesout)

UpdateOutput

public void UpdateOutput()

OutputIncrementalTrain

public void OutputIncrementalTrain(double rate,
                          double target)

HiddenIncrementalTrain

public void HiddenIncrementalTrain(double rate)

OutputBatchTrain

public void OutputBatchTrain(double rate,
                    double target)

HiddenBatchTrain

public void HiddenBatchTrain(double rate)

BatchUpdateWeights

public void BatchUpdateWeights(int noofepochs)

Derivative

public double Derivative()