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Description
Class Summary | |
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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. |
Provides weights randomization techniques
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