Package | Description |
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org.neuroph.core |
Provides base classes and basic building components for neural networks.
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org.neuroph.util.random |
Provides weights randomization techniques
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Modifier and Type | Method and Description |
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void |
NeuralNetwork.randomizeWeights(WeightsRandomizer randomizer)
Randomizes connection weights for the whole network using specified
randomizer
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Modifier and Type | Class and Description |
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class |
DistortRandomizer
This class provides distort randomization technique, which distorts existing
weight values using specified distortion factor.
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class |
GaussianRandomizer
This class provides Gaussian randomization technique using Box Muller method.
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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.
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class |
RangeRandomizer
This class provides ranged weights randomizer, which randomize weights in specified [min, max] range.
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