org.ai_heuristic.algo.cluster.som.kohonen

Class WTALearningFunctionWithTired

java.lang.Object

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

org.ai_heuristic.algo.cluster.som.kohonen.WTALearningFunctionWithTired

All Implemented Interfaces:

LearningFunction

public class WTALearningFunctionWithTired
extends WTALearningFunction

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 inherited from class org.ai_heuristic.algo.cluster.som.kohonen.WTALearningFunction

learningData, maxIteration, networkModel

Constructor Summary

Constructors

Constructor and Description
WTALearningFunctionWithTired(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.

Methods inherited from class org.ai_heuristic.algo.cluster.som.kohonen.WTALearningFunction

getLearningData, getMaxIteration, getNetworkModel, learn, setLearningData, setMaxIteration, setNetworkModel

Methods inherited from class java.lang.Object

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

Constructor Detail

WTALearningFunctionWithTired

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

Creates a new instance of WTALearningFunction.

Parameters:

networkModel - network model

maxIteration - iteration number

learningData - learnig data

Method Detail

getBestNeuron

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

Return number of the best neuron for specified input vector. All neuron's tiredness is increasing

Overrides:

getBestNeuron in class WTALearningFunction

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. Changed neruon's tiredness is decreasing.

Overrides:

changeNeuronWeight in class WTALearningFunction

Parameters:

neuronNumber - neuron number

vector - input vector

iteration - iteration number

Throws:

java.lang.Exception - any error.