|
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. |