| Interface | Description |
|---|---|
| NeuralNetworkPattern |
Patterns are used to create common sorts of neural networks.
|
| Class | Description |
|---|---|
| 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.
|
| Exception | Description |
|---|---|
| PatternError |
This class is thrown when an error occurs while using one of the neural
network pattern classes.
|