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#Org.neuroph.util.random Classes and Interfaces - 5 results found.
| Name | Description | Type | Package | Framework |
| DistortRandomizer | This class provides distort randomization technique, which distorts existing weight values using specified distortion factor. | Class | org.neuroph.util.random | Neuroph |
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| GaussianRandomizer | This class provides Gaussian randomization technique using Box Muller method. | Class | org.neuroph.util.random | Neuroph |
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| 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 | org.neuroph.util.random | Neuroph |
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| RangeRandomizer | This class provides ranged weights randomizer, which randomize weights in specified [min, max] range. | Class | org.neuroph.util.random | Neuroph |
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| WeightsRandomizer | Basic weights randomizer, iterates and randomizes all connection weights in network. | Class | org.neuroph.util.random | Neuroph |
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