Package org.encog.neural.pattern

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.
 



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