Uses of Interface
org.encog.mathutil.randomize.Randomizer

Packages that use Randomizer
org.encog.mathutil.randomize   
org.encog.neural.networks.training.pso   
 

Uses of Randomizer in org.encog.mathutil.randomize
 

Classes in org.encog.mathutil.randomize that implement Randomizer
 class BasicRandomizer
          Provides basic functionality that most randomizers will need.
 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.
 

Uses of Randomizer in org.encog.neural.networks.training.pso
 

Fields in org.encog.neural.networks.training.pso declared as Randomizer
protected  Randomizer NeuralPSO.m_randomizer
           
 

Constructors in org.encog.neural.networks.training.pso with parameters of type Randomizer
NeuralPSO(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize)
          Constructor.
 



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