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Packages that use WeightsRandomizer | |
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org.neuroph.core | Provides base classes and basic building components for neural networks. |
org.neuroph.util.random | Provides weights randomization techniques |
Uses of WeightsRandomizer in org.neuroph.core |
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Methods in org.neuroph.core with parameters of type WeightsRandomizer | |
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void |
NeuralNetwork.randomizeWeights(WeightsRandomizer randomizer)
Randomizes connection weights for the whole network using specified randomizer |
Uses of WeightsRandomizer in org.neuroph.util.random |
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Subclasses of WeightsRandomizer in org.neuroph.util.random | |
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class |
DistortRandomizer
This class provides distort randomization technique, which distorts existing weight values using specified distortion factor. |
class |
GaussianRandomizer
This class provides Gaussian randomization technique using Box Muller method. |
class |
NguyenWidrowRandomizer
This class provides NguyenWidrow randmization technique, which gives very good results for Multi Layer Perceptrons trained with back propagation family of learning rules. |
class |
RangeRandomizer
This class provides ranged weights randomizer, which randomize weights in specified [min, max] range. |
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