Interface Summary Interface Description NeuralNetworkPatternPatterns are used to create common sorts of neural networks.
Class Summary Class Description ADALINEPatternConstruct an ADALINE neural network. ART1PatternPattern to create an ART-1 neural network. BAMPatternConstruct a Bidirectional Access Memory (BAM) neural network. BoltzmannPatternPattern to create a Boltzmann machine. CPNPatternPattern that creates a CPN neural network. ElmanPatternThis class is used to generate an Elman style recurrent neural network. FeedForwardPatternUsed to create feedforward neural networks. HopfieldPatternCreate a Hopfield pattern. JordanPatternThis class is used to generate an Jordan style recurrent neural network. PNNPatternPattern to create a PNN. RadialBasisPatternA 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. SOMPatternA self organizing map is a neural network pattern with an input and output layer. SVMPatternA pattern to create support vector machines.
Exception Summary Exception Description PatternErrorThis class is thrown when an error occurs while using one of the neural network pattern classes.
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