Uses of Interface
org.encog.neural.pattern.NeuralNetworkPattern

Packages that use NeuralNetworkPattern

org.encog.neural.pattern
org.encog.neural.prune

Uses of NeuralNetworkPattern in org.encog.neural.pattern

Classes in org.encog.neural.pattern that implement NeuralNetworkPattern

class	ADALINEPattern Construct an ADALINE neural network.
class	ART1Pattern Pattern to create an ART-1 neural network.
class	BAMPattern Construct a Bidirectional Access Memory (BAM) neural network.
class	BoltzmannPattern Pattern to create a Boltzmann machine.
class	CPNPattern Pattern that creates a CPN neural network.
class	ElmanPattern This class is used to generate an Elman style recurrent neural network.
class	FeedForwardPattern Used to create feedforward neural networks.
class	HopfieldPattern Create a Hopfield pattern.
class	JordanPattern This class is used to generate an Jordan style recurrent neural network.
class	NEATPattern
class	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.
class	RSOMPattern A recurrent self organizing map is a self organizing map that has a recurrent context connection on the hidden layer.
class	SOMPattern A self organizing map is a neural network pattern with an input and output layer.
class	SVMPattern

Uses of NeuralNetworkPattern in org.encog.neural.prune

Methods in org.encog.neural.prune that return NeuralNetworkPattern

NeuralNetworkPattern

PruneIncremental.getPattern()

Constructors in org.encog.neural.prune with parameters of type NeuralNetworkPattern

PruneIncremental(NeuralDataSet training, NeuralNetworkPattern pattern, int iterations, int weightTries, int numTopResults, StatusReportable report)
Construct an object to determine the optimal number of hidden layers and neurons for the specified training data and pattern.