org.neuroph.util.random

Class GaussianRandomizer

java.lang.Object

org.neuroph.util.random.WeightsRandomizer

org.neuroph.util.random.GaussianRandomizer

public class GaussianRandomizer
extends WeightsRandomizer

This class provides Gaussian randomization technique using Box Muller method. Based on GaussianRandomizer from Encog

Author:

Zoran Sevarac

Field Summary

Fields inherited from class org.neuroph.util.random.WeightsRandomizer

randomGen

Constructor Summary

Constructors

Constructor and Description
GaussianRandomizer(double mean, double standardDeviation)

Method Summary

Modifier and Type	Method and Description
protected double	nextRandomWeight() Returns next random value from random generator, that will be used to initialize weight Override this method to implement custom random number generators

Methods inherited from class org.neuroph.util.random.WeightsRandomizer

getRandomGen, randomize, randomize, randomize

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianRandomizer

public GaussianRandomizer(double mean,
                          double standardDeviation)

Method Detail

nextRandomWeight

protected double nextRandomWeight()

Description copied from class: WeightsRandomizer

Returns next random value from random generator, that will be used to initialize weight Override this method to implement custom random number generators

Overrides:

nextRandomWeight in class WeightsRandomizer

Returns:

next random value fro random generator