org.ai_heuristic.algo.cluster.som.network

Class DefaultNeuronWithBias

java.lang.Object

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

org.ai_heuristic.algo.cluster.som.network.DefaultNeuronWithBias

All Implemented Interfaces:

NeuronModel

public class DefaultNeuronWithBias
extends DefaultNeuron

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.DefaultNeuron

activationFunction, learnFunction, weight

Constructor Summary

Constructors

Constructor and Description
DefaultNeuronWithBias(double[] weightArray, FunctionActivate activationFunction) Creates a new instance of DefaultNeuronWithBias with specified weights defined in array
DefaultNeuronWithBias(int weightNumber, double[] maxWeight, FunctionActivate activationFunction) Creates a new instance of DefaultNeuronWithBias with random weights value

Method Summary

Modifier and Type	Method and Description
double	getBias() Return value of the bias
double	getValue(double[] inputVector) Return value of the neuron after activation.
void	setBias(double bias) Set bias

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

changeNeuronWeight, changeNeuronWeight, getActivationFunction, getWeight, setActivationFunction, setWeight, valueTimesWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultNeuronWithBias

public DefaultNeuronWithBias(int weightNumber,
                             double[] maxWeight,
                             FunctionActivate activationFunction)

Creates a new instance of DefaultNeuronWithBias with random weights value

Parameters:

weightNumber - numbers of weigths

maxWeight - max value of the weight. If null or different number of entries to weightNumber, then start with random value between 0 and 1.

activationFunction - reference to activation function

DefaultNeuronWithBias

public DefaultNeuronWithBias(double[] weightArray,
                             FunctionActivate activationFunction)

Creates a new instance of DefaultNeuronWithBias with specified weights defined in array

Parameters:

weightArray - array of weights value

activationFunction - reference to activation function

Method Detail

getValue

public double getValue(double[] inputVector)
                throws java.lang.Exception

Return value of the neuron after activation.

Specified by:

getValue in interface NeuronModel

Overrides:

getValue in class DefaultNeuron

Parameters:

inputVector - input vector for neuron

Returns:

return

Throws:

java.lang.Exception - any error.

getBias

public double getBias()

Return value of the bias

Returns:

value of the bias

setBias

public void setBias(double bias)

Set bias

Parameters:

bias - value of the bias