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

Packages that use Randomizer

org.encog.mathutil.randomize
org.encog.neural.networks.training.genetic	This package provides genetic training for neural networks.

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.genetic

Constructors in org.encog.neural.networks.training.genetic with parameters of type Randomizer

NeuralGeneticAlgorithm(BasicNetwork network, Randomizer randomizer, CalculateScore calculateScore, int populationSize, double mutationPercent, double percentToMate)
Construct a neural genetic algorithm.