org.neuroph.util.random
Class DistortRandomizer

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

public class DistortRandomizer
extends WeightsRandomizer

This class provides distort randomization technique, which distorts existing weight values using specified distortion factor. Weights are distorted using following formula: newWeightValue = currentWeightValue + (distortionFactor - (random * distortionFactor * 2))

Author:

Zoran Sevarac

Field Summary

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

randomGenerator

Constructor Summary

DistortRandomizer(double distortionFactor)
Create a new instance of DistortRandomizer with specified distortion factor

Method Summary

void	randomize(NeuralNetwork neuralNetwork) Iterate all layers, neurons and connection weight and apply distort randomization

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

getRandomGenerator, nextRandomWeight

Methods inherited from class java.lang.Object

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

Constructor Detail

DistortRandomizer

public DistortRandomizer(double distortionFactor)

Create a new instance of DistortRandomizer with specified distortion factor

Parameters:

distortionFactor - amount to distort existing weights

Method Detail

randomize

public void randomize(NeuralNetwork neuralNetwork)

Iterate all layers, neurons and connection weight and apply distort randomization

Overrides:

randomize in class WeightsRandomizer

Parameters:

neuralNetwork -