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| Packages that use FeedForwardNet | |
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| de.htwdd.rosenkoenig.neuro.net.examples | This package contains a number of examples to demonstrate the use of the different neural network classes. |
| de.htwdd.rosenkoenig.neuro.net.training | This package contains classes to train neural networks. |
| Uses of FeedForwardNet in de.htwdd.rosenkoenig.neuro.net.examples |
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| Methods in de.htwdd.rosenkoenig.neuro.net.examples with parameters of type FeedForwardNet | |
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private static void |
XORExample.present(FeedForwardNet net,
java.util.List<Pattern> patterns)
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private static void |
Benchmark.present(FeedForwardNet net,
java.util.List<Pattern> patterns)
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private static void |
BankExample.present(FeedForwardNet net,
java.util.List<Pattern> patterns)
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| Uses of FeedForwardNet in de.htwdd.rosenkoenig.neuro.net.training |
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| Fields in de.htwdd.rosenkoenig.neuro.net.training declared as FeedForwardNet | |
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private FeedForwardNet |
Trainer.net
The net that will be trained. |
| Methods in de.htwdd.rosenkoenig.neuro.net.training that return FeedForwardNet | |
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FeedForwardNet |
Trainer.getNet()
Getter of the property net |
| Methods in de.htwdd.rosenkoenig.neuro.net.training with parameters of type FeedForwardNet | |
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void |
Trainer.setNet(FeedForwardNet net)
Setter of the property net |
| Constructors in de.htwdd.rosenkoenig.neuro.net.training with parameters of type FeedForwardNet | |
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Trainer(FeedForwardNet net,
TeachingAlgorithm algorithm)
Creates a new Trainer with default parameters. |
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