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## org.neuroph.util.random
Class GaussianRandomizer

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

    public class GaussianRandomizer

extends WeightsRandomizer

This class provides Gaussian randomization technique using Box Muller method. Based on GaussianRandomizer from Encog

Author:
  Zoran Sevarac

Field Summary

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

Constructor Summary
`GaussianRandomizer(double mean, double standardDeviation)`

Method Summary
`protected double` | `nextRandomWeight()` Returns next random value from random generator, that will be used to initialize weight

Methods inherited from class org.neuroph.util.random.WeightsRandomizer
`getRandomGenerator, randomize`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### GaussianRandomizer

    public GaussianRandomizer(double mean,
                              double standardDeviation)

Method Detail

### nextRandomWeight

    protected double nextRandomWeight()

  Description copied from class: `WeightsRandomizer`
  Returns next random value from random generator, that will be used to initialize weight

  Overrides:
    `nextRandomWeight` in class `WeightsRandomizer`
  Returns:
    next random value fro random generator

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