org.neuroph.util.random
Class WeightsRandomizer

java.lang.Object
  org.neuroph.util.random.WeightsRandomizer

Direct Known Subclasses:

DistortRandomizer, GaussianRandomizer, RangeRandomizer

public class WeightsRandomizer
extends Object

Basic weights randomizer, iterates and randomizes all connection weights in network.

Author:

Zoran Sevarac

Field Summary

protected Random

randomGenerator Random number genarator used by randomizers

Constructor Summary

WeightsRandomizer()
Create a new instance of WeightsRandomizer

WeightsRandomizer(Random randomGenerator)
Create a new instance of WeightsRandomizer with specified random generator If you use the same random generators, you'll get the same random sequences

Method Summary

Random	getRandomGenerator() Gets random generator used to generate random values
protected double	nextRandomWeight() Returns next random value from random generator, that will be used to initialize weight
void	randomize(NeuralNetwork neuralNetwork) Iterate all layers, neurons and connections in network, and randomize connection weights

Methods inherited from class java.lang.Object

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

Field Detail

randomGenerator

protected Random randomGenerator

Random number genarator used by randomizers

Constructor Detail

WeightsRandomizer

public WeightsRandomizer()

Create a new instance of WeightsRandomizer

WeightsRandomizer

public WeightsRandomizer(Random randomGenerator)

Create a new instance of WeightsRandomizer with specified random generator If you use the same random generators, you'll get the same random sequences

Parameters:

randomGenerator - random geneartor to use for randomizing weights

Method Detail

getRandomGenerator

public Random getRandomGenerator()

Gets random generator used to generate random values

Returns:

random generator used to generate random values

randomize

public void randomize(NeuralNetwork neuralNetwork)

Iterate all layers, neurons and connections in network, and randomize connection weights

Parameters:

neuralNetwork - neural network to randomize

nextRandomWeight

protected double nextRandomWeight()

Returns next random value from random generator, that will be used to initialize weight

Returns:

next random value fro random generator