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.
|
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