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Uses of LearningRate in org.encog.neural.cpn.training |
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Classes in org.encog.neural.cpn.training that implement LearningRate | |
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class |
TrainInstar
Used for Instar training of a CPN neural network. |
class |
TrainOutstar
Used for Instar training of a CPN neural network. |
Uses of LearningRate in org.encog.neural.networks.training.propagation.back |
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Classes in org.encog.neural.networks.training.propagation.back that implement LearningRate | |
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Backpropagation
This class implements a backpropagation training algorithm for feed forward neural networks. |
Uses of LearningRate in org.encog.neural.networks.training.propagation.manhattan |
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Classes in org.encog.neural.networks.training.propagation.manhattan that implement LearningRate | |
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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. |
Uses of LearningRate in org.encog.neural.networks.training.propagation.quick |
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Classes in org.encog.neural.networks.training.propagation.quick that implement LearningRate | |
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class |
QuickPropagation
QPROP is an efficient training method that is based on Newton's Method. |
Uses of LearningRate in org.encog.neural.networks.training.simple |
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Classes in org.encog.neural.networks.training.simple that implement LearningRate | |
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class |
TrainAdaline
Train an ADALINE neural network. |
Uses of LearningRate in org.encog.neural.som.training.basic |
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Classes in org.encog.neural.som.training.basic that implement LearningRate | |
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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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