Package org.encog.neural.pattern

This package contains many helper classes to create neural network types.

See:
Description

Interface Summary

NeuralNetworkPattern

Patterns are used to create common sorts of neural networks.

Class Summary

ADALINEPattern	Construct an ADALINE neural network.
ART1Pattern	Pattern to create an ART-1 neural network.
BAMPattern	Construct a Bidirectional Access Memory (BAM) neural network.
BoltzmannPattern	Pattern to create a Boltzmann machine.
CPNPattern	Pattern that creates a CPN neural network.
ElmanPattern	This class is used to generate an Elman style recurrent neural network.
FeedForwardPattern	Used to create feedforward neural networks.
HopfieldPattern	Create a Hopfield pattern.
JordanPattern	This class is used to generate an Jordan style recurrent neural network.
PNNPattern	Pattern to create a PNN.
RadialBasisPattern	A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network.
SOMPattern	A self organizing map is a neural network pattern with an input and output layer.
SVMPattern	A pattern to create support vector machines.

Exception Summary

PatternError

This class is thrown when an error occurs while using one of the neural network pattern classes.

Package org.encog.neural.pattern Description

This package contains many helper classes to create neural network types.