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## Uses of Class
org.encog.mathutil.randomize.BasicRandomizer

Packages that use BasicRandomizer
org.encog.mathutil.randomize |

Uses of BasicRandomizer in org.encog.mathutil.randomize

Subclasses of BasicRandomizer in org.encog.mathutil.randomize
`class` | `ConsistentRandomizer` A randomizer that takes a seed and will always produce consistent results.
`class` | `ConstRandomizer` A randomizer that will create always set the random number to a const value, used mainly for testing.
`class` | `Distort` A randomizer that distorts what is already present in the neural network.
`class` | `FanInRandomizer` A randomizer that attempts to create starting weight values that are conducive to propagation training.
`class` | `GaussianRandomizer` Generally, you will not want to use this randomizer as a pure neural network randomizer.
`class` | `NguyenWidrowRandomizer` Implementation of Nguyen-Widrow weight initialization.
`class` | `RangeRandomizer` A randomizer that will create random weight and bias values that are between a specified range.

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