Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES

## 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.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES

Copyright © 2011. All Rights Reserved.