org.encog.neural.som.training.basic.neighborhood

Class NeighborhoodSingle

java.lang.Object

org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle

All Implemented Interfaces:

NeighborhoodFunction

public class NeighborhoodSingle
extends Object
implements NeighborhoodFunction

A very simple neighborhood function that will return 1.0 (full effect) for the winning neuron, and 0.0 (no change) for everything else.

Author:

jheaton

Constructor Summary

Constructors

Constructor and Description
NeighborhoodSingle()

Method Summary

Methods

Modifier and Type	Method and Description
double	function(int currentNeuron, int bestNeuron) Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.
double	getRadius() The radius for this neighborhood function is always 1.
void	setRadius(double radius) Set the radius.

Methods inherited from class java.lang.Object

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

Constructor Detail

NeighborhoodSingle

public NeighborhoodSingle()

Method Detail

function

public double function(int currentNeuron,
              int bestNeuron)

Determine how much the current neuron should be affected by training based on its proximity to the winning neuron.

Specified by:

function in interface NeighborhoodFunction

Parameters:

currentNeuron - THe current neuron being evaluated.

bestNeuron - The winning neuron.

Returns:

The ratio for this neuron's adjustment.

getRadius

public double getRadius()

The radius for this neighborhood function is always 1.

Specified by:

getRadius in interface NeighborhoodFunction

Returns:

The radius.

setRadius

public void setRadius(double radius)

Set the radius. This type does not use a radius, so this has no effect.

Specified by:

setRadius in interface NeighborhoodFunction

Parameters:

radius - The radius.