org.neuroph.util.random

Class WeightsRandomizer

java.lang.Object

org.neuroph.util.random.WeightsRandomizer

Direct Known Subclasses:

DistortRandomizer, GaussianRandomizer, HeZhangRenSunUniformWeightsRandomizer, RangeRandomizer

public class WeightsRandomizer
extends Object

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

Author:

Zoran Sevarac

Field Summary

Fields

Modifier and Type	Field and Description
protected Random	randomGen Random number genarator used to generate random values for weights

Constructor Summary

Constructors

Constructor and Description
WeightsRandomizer() Create a new instance of WeightsRandomizer
WeightsRandomizer(Random randomGen) 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

Modifier and Type	Method and Description
Random	getRandomGen()
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
protected void	randomize(Layer layer) Iterate and randomizes all neurons in specified layer
void	randomize(NeuralNetwork<?> neuralNetwork) Iterates and randomizes all layers in specified network
protected void	randomize(Neuron neuron) Iterates and randomizes all connection weights in specified neuron

Methods inherited from class java.lang.Object

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

Field Detail

randomGen

protected Random randomGen

Random number genarator used to generate random values for weights

Constructor Detail

WeightsRandomizer

public WeightsRandomizer()

Create a new instance of WeightsRandomizer

WeightsRandomizer

public WeightsRandomizer(Random randomGen)

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:

randomGen - random geneartor to use for randomizing weights

Method Detail

getRandomGen

public Random getRandomGen()

randomize

public void randomize(NeuralNetwork<?> neuralNetwork)

Iterates and randomizes all layers in specified network

Parameters:

neuralNetwork - neural network to randomize

randomize

protected void randomize(Layer layer)

Iterate and randomizes all neurons in specified layer

Parameters:

layer - layer to randomize

randomize

protected void randomize(Neuron neuron)

Iterates and randomizes all connection weights in specified neuron

Parameters:

neuron - neuron to randomize

nextRandomWeight

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

Returns:

next random value fro random generator