org.ai_heuristic.algo.cluster.som.network

Interface NeuronModel

All Known Subinterfaces:

TiredNeuronModel

All Known Implementing Classes:

DefaultNeuron, DefaultNeuronWithBias, KohonenNeuron, KohonenNeuronWithTired

public interface NeuronModel

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.

Method Summary

Modifier and Type	Method and Description
void	changeNeuronWeight(double[] vector, double factor) Change neuron weights for specified neuron number,factor and input data vector
void	changeNeuronWeight(double[] vector, double factor, double influence) Change neuron weights for specified neuron number,factor and input data vector
double	getValue(double[] inputVector) Return value of the neuron after activation.
double[]	getWeight() Returns array contains valu of the weights
void	setWeight(double[] weight) Set weigths from array as parameter

Method Detail

getWeight

double[] getWeight()

Returns array contains valu of the weights

Returns:

array of the weights

setWeight

void setWeight(double[] weight)

Set weigths from array as parameter

Parameters:

weight - array of the weights

getValue

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

Return value of the neuron after activation. if activation function is not set, function return sum of the multiplication of vector v_i and weight w_i for each i (numbers of weigth and lenght of the input vector)

Parameters:

inputVector - input vector for neuron

Returns:

return

Throws:

java.lang.Exception - any error.

changeNeuronWeight

void changeNeuronWeight(double[] vector,
                        double factor)
                 throws java.lang.Exception

Change neuron weights for specified neuron number,factor and input data vector

Parameters:

vector - input data vector.

factor - the iteration number or factor.

Throws:

java.lang.Exception - any error.

changeNeuronWeight

void changeNeuronWeight(double[] vector,
                        double factor,
                        double influence)
                 throws java.lang.Exception

Change neuron weights for specified neuron number,factor and input data vector

Parameters:

vector - input data vector.

factor - the iteration number or factor.

influence - cells in neighbourhood have a reduced influence.

Throws:

java.lang.Exception - any error.