org.ai_heuristic.algo.cluster.som.kohonen

Class WTALearningFunction

java.lang.Object

org.ai_heuristic.algo.cluster.som.kohonen.WTALearningFunction

All Implemented Interfaces:

LearningFunction

Direct Known Subclasses:

WTALearningFunctionWithTired

public class WTALearningFunction
extends java.lang.Object
implements LearningFunction

Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/ Some classes or packages may have been moved or changed. See above for the copyright notices.

Author:

Kieran Greer.

Field Summary

Fields

Modifier and Type	Field and Description
protected LearningDataModel	learningData Reference to learning data
protected int	maxIteration Max number of iteration
protected NetworkModel	networkModel Reference to network model

Constructor Summary

Constructors

Constructor and Description
WTALearningFunction(NetworkModel networkModel, int maxIteration, LearningDataModel learningData) Creates a new instance of WTALearningFunction.

Method Summary

Modifier and Type	Method and Description
protected void	changeNeuronWeight(int neuronNumber, double[] vector, int iteration) Change neuron weights for specified neuron number,iteration and input data vector
protected int	getBestNeuron(double[] vector) Return number of the best neuron for specified input vector
LearningDataModel	getLearningData() Return reference to learning data
int	getMaxIteration() Return maximal number of iteration
NetworkModel	getNetworkModel() Return network model
void	learn() Start learning process
void	setLearningData(LearningDataModel learningData) Set reference to learning data
void	setMaxIteration(int maxIteration) Set max interation
void	setNetworkModel(NetworkModel networkModel) Set network model

Methods inherited from class java.lang.Object

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

Field Detail

networkModel

protected NetworkModel networkModel

Reference to network model

maxIteration

protected int maxIteration

Max number of iteration

learningData

protected LearningDataModel learningData

Reference to learning data

Constructor Detail

WTALearningFunction

public WTALearningFunction(NetworkModel networkModel,
                           int maxIteration,
                           LearningDataModel learningData)

Creates a new instance of WTALearningFunction.

Parameters:

networkModel - network model

maxIteration - iteration number

learningData - learning data

Method Detail

setNetworkModel

public void setNetworkModel(NetworkModel networkModel)

Set network model

Parameters:

networkModel - network model

getNetworkModel

public NetworkModel getNetworkModel()

Return network model

Returns:

network model

setMaxIteration

public void setMaxIteration(int maxIteration)

Set max interation

Parameters:

maxIteration - max interation

getMaxIteration

public int getMaxIteration()

Return maximal number of iteration

Returns:

maximal number of iteration

setLearningData

public void setLearningData(LearningDataModel learningData)

Set reference to learning data

Parameters:

learningData - reference to learning data

getLearningData

public LearningDataModel getLearningData()

Return reference to learning data

Returns:

reference to learning data

getBestNeuron

protected int getBestNeuron(double[] vector)
                     throws java.lang.Exception

Return number of the best neuron for specified input vector

Parameters:

vector - input vector

Returns:

Neuron number

Throws:

java.lang.Exception - any error.

changeNeuronWeight

protected void changeNeuronWeight(int neuronNumber,
                                  double[] vector,
                                  int iteration)
                           throws java.lang.Exception

Change neuron weights for specified neuron number,iteration and input data vector

Parameters:

neuronNumber - neuron number

vector - input vector

iteration - iteration number

Throws:

java.lang.Exception - any error.

learn

public void learn()
           throws java.lang.Exception

Start learning process

Specified by:

learn in interface LearningFunction

Throws:

java.lang.Exception - any error.