Package org.encog.util.randomize

Interface Summary

Randomizer

Defines the interface for a class that is capable of randomizing the weights and thresholds of a neural network.

Class Summary

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 back propagation training.
RangeRandomizer	A randomizer that will create random weight and threshold values that are between a specified range.