jhpro.nnet.jknnl

Class KohonenNeuronWithTired

java.lang.Object

jhpro.nnet.jknnl.KohonenNeuron

jhpro.nnet.jknnl.KohonenNeuronWithTired

All Implemented Interfaces:

NeuronModel, TiredNeuronModel

public class KohonenNeuronWithTired
extends KohonenNeuron
implements TiredNeuronModel

Class representing kohenen neuron with tiredness with specyfied activation function

Constructor Summary

Constructors

Constructor and Description
KohonenNeuronWithTired(double[] weightArray, ActivationFunctionModel activationFunction) Creates new kohonen neuron with weight specified by array and specified activation function.
KohonenNeuronWithTired(int weightNumber, double[] maxWeight, ActivationFunctionModel 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 jhpro.nnet.jknnl.KohonenNeuron

getDistanceFunction, getValue, getWeight, setDistanceFunction, setWeight, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface jhpro.nnet.jknnl.NeuronModel

getValue, getWeight, setWeight

Constructor Detail

KohonenNeuronWithTired

public KohonenNeuronWithTired(int weightNumber,
                              double[] maxWeight,
                              ActivationFunctionModel activationFunction)

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

Parameters:

weightNumber - numbers of weight

maxWeight - max value of the weight

activationFunction - activation function

KohonenNeuronWithTired

public KohonenNeuronWithTired(double[] weightArray,
                              ActivationFunctionModel 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

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