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 java.lang.Object

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

Constructor Summary

Constructors

Constructor and Description
WeightsRandomizer() Create a new instance of WeightsRandomizer
WeightsRandomizer(java.util.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
java.util.Random	getRandomGen()
void	randomize(NeuralNetwork<?> neuralNetwork) Iterates and randomizes all layers in specified network

Methods inherited from class java.lang.Object

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

Constructor Detail

WeightsRandomizer

public WeightsRandomizer()

Create a new instance of WeightsRandomizer

WeightsRandomizer

public WeightsRandomizer(java.util.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 java.util.Random getRandomGen()

randomize

public void randomize(NeuralNetwork<?> neuralNetwork)

Iterates and randomizes all layers in specified network

Parameters:

neuralNetwork - neural network to randomize