Modifier and Type | Class and Description |
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class |
TrainInstar
Used for Instar training of a CPN neural network.
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class |
TrainOutstar
Used for Instar training of a CPN neural network.
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Modifier and Type | Class and Description |
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class |
Backpropagation
This class implements a backpropagation training algorithm for feed forward
neural networks.
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Modifier and Type | Class and Description |
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class |
ManhattanPropagation
One problem that the backpropagation technique has is that the magnitude of
the partial derivative may be calculated too large or too small.
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Modifier and Type | Class and Description |
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class |
QuickPropagation
QPROP is an efficient training method that is based on Newton's Method.
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Modifier and Type | Class and Description |
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class |
TrainAdaline
Train an ADALINE neural network.
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Modifier and Type | Class and Description |
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class |
BasicTrainSOM
This class implements competitive training, which would be used in a
winner-take-all neural network, such as the self organizing map (SOM).
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