Package org.encog.mathutil.randomize

Interface Summary

Interface	Description
Randomizer	Defines the interface for a class that is capable of randomizing the weights and bias values of a neural network.

Class Summary

Class	Description
BasicRandomizer	Provides basic functionality that most randomizers will need.
ConsistentRandomizer	A randomizer that takes a seed and will always produce consistent results.
ConstRandomizer	A randomizer that will create always set the random number to a const value, used mainly for testing.
Distort	A randomizer that distorts what is already present in the neural network.
FanInRandomizer	A randomizer that attempts to create starting weight values that are conducive to propagation training.
GaussianRandomizer	Generally, you will not want to use this randomizer as a pure neural network randomizer.
NguyenWidrowRandomizer	Implementation of Nguyen-Widrow weight initialization.
RandomChoice	Generate random choices unevenly.
RangeRandomizer	A randomizer that will create random weight and bias values that are between a specified range.
XaiverRandomizer