kohonen
Class WTMLearningFunctionWithTired

java.lang.Object
  kohonen.WTMLearningFunction
      kohonen.WTMLearningFunctionWithTired

public class WTMLearningFunctionWithTired
extends WTMLearningFunction

WTMLearningFunctionWithTired class - learnig class used to learn neuron with tiredness

Field Summary

Fields inherited from class kohonen.WTMLearningFunction

functionalModel, learningData, maxIteration, metrics, neighboorhoodFunction, networkModel, topology

Constructor Summary

WTMLearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel, NeighbourhoodFunctionModel neighboorhoodFunction)
Creates a new instance of WTMLearningFunction

Method Summary

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 kohonen.WTMLearningFunction

changeWeight, getFunctionalModel, getLearningData, getMaxIteration, getMetrics, getNeighboorhoodFunction, getNetworkModel, isShowComments, learn, setFunctionalModel, setLearningData, setMaxIteration, setMetrics, setNeighboorhoodFunction, setNetworkModel, setShowComments

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,
                                    MetricModel metrics,
                                    LearningDataModel learningData,
                                    LearningFactorFunctionalModel functionalModel,
                                    NeighbourhoodFunctionModel neighboorhoodFunction)

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

neighboorhoodFunction - reference to Neighboorhood Function

Method Detail

getBestNeuron

protected int getBestNeuron(double[] vector)

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

changeNeuronWeight

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. All changed neurons' tiredness is decrease.

Overrides:

changeNeuronWeight in class WTMLearningFunction

Parameters:

distance - distance to winning neuron

neuronNumber - neuron number

vector - input vector

iteration - iteration number