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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