org.encog.mathutil.randomize
Class NguyenWidrowRandomizer

java.lang.Object
  org.encog.mathutil.randomize.BasicRandomizer
      org.encog.mathutil.randomize.NguyenWidrowRandomizer

All Implemented Interfaces:

Randomizer

public class NguyenWidrowRandomizer
extends BasicRandomizer

Implementation of Nguyen-Widrow weight initialization. This is the default weight initialization used by Encog, as it generally provides the most train-able neural network.

Field Summary

static String

MSG

Constructor Summary

NguyenWidrowRandomizer()

Method Summary

double	randomize(double d) Starting with the specified number, randomize it to the degree specified by this randomizer.
void	randomize(double[] d) Randomize the array based on an array, modify the array.
void	randomize(double[][] d) Randomize the 2d array based on an array, modify the array.
void	randomize(double[] d, int begin, int size) Randomize the array based on an array, modify the array.
void	randomize(Matrix m) Randomize the matrix based on an array, modify the array.
void	randomize(MLMethod method) Randomize the synapses and biases in the basic network based on an array, modify the array.

Methods inherited from class org.encog.mathutil.randomize.BasicRandomizer

getRandom, nextDouble, nextDouble, randomize, setRandom, setSeed

Methods inherited from class java.lang.Object

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

Field Detail

MSG

public static String MSG

Constructor Detail

NguyenWidrowRandomizer

public NguyenWidrowRandomizer()

Method Detail

randomize

public void randomize(MLMethod method)

Description copied from class: BasicRandomizer

Randomize the synapses and biases in the basic network based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer.

Specified by:

randomize in interface Randomizer

Overrides:

randomize in class BasicRandomizer

Parameters:

method - A network to randomize.

randomize

public double randomize(double d)

Description copied from interface: Randomizer

Starting with the specified number, randomize it to the degree specified by this randomizer. This could be a totally new random number, or it could be based on the specified number.

Parameters:

d - The number to randomize.

Returns:

A randomized number.

randomize

public void randomize(double[] d)

Description copied from class: BasicRandomizer

Randomize the array based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer.

Specified by:

randomize in interface Randomizer

Overrides:

randomize in class BasicRandomizer

Parameters:

d - An array to randomize.

randomize

public void randomize(double[][] d)

Description copied from class: BasicRandomizer

Randomize the 2d array based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer.

Specified by:

randomize in interface Randomizer

Overrides:

randomize in class BasicRandomizer

Parameters:

d - An array to randomize.

randomize

public void randomize(Matrix m)

Description copied from class: BasicRandomizer

Randomize the matrix based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer.

Specified by:

randomize in interface Randomizer

Overrides:

randomize in class BasicRandomizer

Parameters:

m - A matrix to randomize.

randomize

public void randomize(double[] d,
                      int begin,
                      int size)

Description copied from class: BasicRandomizer

Randomize the array based on an array, modify the array. Previous values may be used, or they may be discarded, depending on the randomizer.

Specified by:

randomize in interface Randomizer

Overrides:

randomize in class BasicRandomizer

Parameters:

d - An array to randomize.

begin - The beginning element of the array.

size - The size of the array to copy.