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## Package org.neuroph.util.random

Provides weights randomization techniques

See:
Description

Class Summary
DistortRandomizer | This class provides distort randomization technique, which distorts existing weight values using specified distortion factor.
GaussianRandomizer | This class provides Gaussian randomization technique using Box Muller method.
NguyenWidrowRandomizer | This class provides NguyenWidrow randmization technique, which gives very good results for Multi Layer Perceptrons trained with back propagation family of learning rules.
RangeRandomizer | This class provides ranged weights randomizer, which randomize weights in specified [min, max] range.
WeightsRandomizer | Basic weights randomizer, iterates and randomizes all connection weights in network.

## Package org.neuroph.util.random Description

Provides weights randomization techniques

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