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| Packages that use TeachingAlgorithm | |
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| de.htwdd.rosenkoenig.neuro.net.training | This package contains classes to train neural networks. |
| Uses of TeachingAlgorithm in de.htwdd.rosenkoenig.neuro.net.training |
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| Subclasses of TeachingAlgorithm in de.htwdd.rosenkoenig.neuro.net.training | |
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class |
Backpropagation
Implementation of the backpropagation teaching algorithm for feed forward neural networks. |
| Fields in de.htwdd.rosenkoenig.neuro.net.training declared as TeachingAlgorithm | |
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private TeachingAlgorithm |
Trainer.algorithm
This algorithm is used to train the net. |
| Methods in de.htwdd.rosenkoenig.neuro.net.training that return TeachingAlgorithm | |
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TeachingAlgorithm |
Trainer.getAlgorithm()
Getter of the property algorithm |
| Methods in de.htwdd.rosenkoenig.neuro.net.training with parameters of type TeachingAlgorithm | |
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void |
Trainer.setAlgorithm(TeachingAlgorithm algorithm)
Setter of the property algorithm |
| Constructors in de.htwdd.rosenkoenig.neuro.net.training with parameters of type TeachingAlgorithm | |
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Trainer(FeedForwardNet net,
TeachingAlgorithm algorithm)
Creates a new Trainer with default parameters. |
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