org.ai_heuristic.algo.cluster.som.kohonen

Class WTMLearningFunctionWithTired

java.lang.Object

org.ai_heuristic.algo.cluster.som.kohonen.WTMLearningFunction

org.ai_heuristic.algo.cluster.som.kohonen.WTMLearningFunctionWithTired

All Implemented Interfaces:

LearningFunction

public class WTMLearningFunctionWithTired
extends WTMLearningFunction

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.WTMLearningFunction

functionalModel, learningData, maxIteration, metrics, neighbourhoodFunction, networkModel, topology

Constructor Summary

Constructors

Constructor and Description
WTMLearningFunctionWithTired(NetworkModel networkModel, int maxIteration, FunctionMetric metrics, LearningDataModel learningData, FunctionLearn functionalModel, NeighbourhoodFunctionModel neighbourhoodFunction) Creates a new instance of WTMLearningFunction

Method Summary

Modifier and Type	Method and Description
protected void	changeNeuronWeight(int neuronNumber, double[] vector, int iteration, int distance) Change neuron weights for specified neuron number, iteration, input data vector and distance and distance to winning neuron.
protected int	getBestNeuron(double[] vector) Return number of best neuron for specified input vector.

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

changeNeuronWeight, changeWeight, getFunctionalModel, getLearningData, getMaxIteration, getMetrics, getNeighbourhoodFunction, getNetworkModel, learn, setFunctionalModel, setLearningData, setMaxIteration, setMetrics, setNeighboorhoodFunction, setNetworkModel

Methods inherited from class java.lang.Object

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

Constructor Detail

WTMLearningFunctionWithTired

public WTMLearningFunctionWithTired(NetworkModel networkModel,
                                    int maxIteration,
                                    FunctionMetric metrics,
                                    LearningDataModel learningData,
                                    FunctionLearn functionalModel,
                                    NeighbourhoodFunctionModel neighbourhoodFunction)

Creates a new instance of WTMLearningFunction

Parameters:

networkModel - reference to network Model

maxIteration - max number of iteration

metrics - reference to metrics

learningData - reference to learning data

functionalModel - reference to functional Model

neighbourhoodFunction - reference to Neighbourhood Function

Method Detail

getBestNeuron

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

Return number of best neuron for specified input vector. Tiredness for all neurons increas

Overrides:

getBestNeuron in class WTMLearningFunction

Parameters:

vector - input vector

Returns:

NeuronModelnumber

Throws:

java.lang.Exception - any error.

changeNeuronWeight

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

Change neuron weights for specified neuron number, iteration, input data vector and distance and distance to winning neuron. All changed neurons' tiredness is decrease.

Parameters:

neuronNumber - neuron number

vector - input vector

iteration - iteration number

distance - distance to winning neuron

Throws:

java.lang.Exception - any error.