org.ai_heuristic.algo.cluster.som.network

Class KohonenNeuronWithTired

java.lang.Object

org.ai_heuristic.algo.cluster.som.network.DefaultNeuron

org.ai_heuristic.algo.cluster.som.network.KohonenNeuron

org.ai_heuristic.algo.cluster.som.network.KohonenNeuronWithTired

All Implemented Interfaces:

NeuronModel, TiredNeuronModel

public class KohonenNeuronWithTired
extends KohonenNeuron
implements TiredNeuronModel

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.network.KohonenNeuron

distanceFunction

Fields inherited from class org.ai_heuristic.algo.cluster.som.network.DefaultNeuron

activationFunction, learnFunction, weight

Constructor Summary

Constructors

Constructor and Description
KohonenNeuronWithTired(double[] weightArray, FunctionMetric distanceFunction, FunctionLearn learnFunction, FunctionActivate activationFunction) Creates new kohonen neuron with weight specified by array and specified activation function.
KohonenNeuronWithTired(int weightNumber, double[] maxWeight, FunctionMetric distanceFunction, FunctionLearn learnFunction, FunctionActivate activationFunction) Creates new kohonen neuron with specified numbers of weight.

Method Summary

Modifier and Type	Method and Description
int	getTiredness() Return value of tiredness
void	setTiredness(int tiredness) Set tiredness

Methods inherited from class org.ai_heuristic.algo.cluster.som.network.KohonenNeuron

changeNeuronWeight, getDistanceFunction, getLearnFunction, getValue, isBetter, setDistanceFunction, setLearnFunction, toString

Methods inherited from class org.ai_heuristic.algo.cluster.som.network.DefaultNeuron

changeNeuronWeight, getActivationFunction, getWeight, setActivationFunction, setWeight, valueTimesWeights

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.ai_heuristic.algo.cluster.som.network.NeuronModel

changeNeuronWeight, changeNeuronWeight, getValue, getWeight, setWeight

Constructor Detail

KohonenNeuronWithTired

public KohonenNeuronWithTired(int weightNumber,
                              double[] maxWeight,
                              FunctionMetric distanceFunction,
                              FunctionLearn learnFunction,
                              FunctionActivate activationFunction)

Creates new kohonen neuron with specified numbers of weight. Value of the weight is random where max value is defined by maxWeight. Activation function is defined by activationFunction parameter.

Parameters:

weightNumber - numbers of weight

maxWeight - max value of the weight

distanceFunction - distance function.

learnFunction - reference to learning function

activationFunction - activation function

KohonenNeuronWithTired

public KohonenNeuronWithTired(double[] weightArray,
                              FunctionMetric distanceFunction,
                              FunctionLearn learnFunction,
                              FunctionActivate activationFunction)

Creates new kohonen neuron with weight specified by array and specified activation function. Numbers of weights are the same as length of the array.

Parameters:

weightArray - array of the weight

distanceFunction - distance function.

learnFunction - reference to learning function

activationFunction - activation function

Method Detail

setTiredness

public void setTiredness(int tiredness)

Set tiredness

Specified by:

setTiredness in interface TiredNeuronModel

Parameters:

tiredness - tiredness

getTiredness

public int getTiredness()

Return value of tiredness

Specified by:

getTiredness in interface TiredNeuronModel

Returns:

value of tiredness