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. |