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 PNNPattern
          Pattern to create a PNN.
 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 SOMPattern
          A self organizing map is a neural network pattern with an input and output layer.
 class SVMPattern
          A pattern to create support vector machines.
 

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(MLDataSet 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.
 



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