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| Packages that use org.neuroph.nnet | |
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| org.neuroph.nnet.learning | Provides implementations of specific neural network learning algorithms. |
| org.neuroph.util | Provides various utility classes for creating neural networks, type codes, parsing vectors, etc. |
| Classes in org.neuroph.nnet used by org.neuroph.nnet.learning | |
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| Kohonen
Kohonen neural network. |
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| Classes in org.neuroph.nnet used by org.neuroph.util | |
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| Adaline
Adaline neural network architecture with LMS learning rule. |
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| BAM
Bidirectional Associative Memory |
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| CompetitiveNetwork
Two layer neural network with competitive learning rule. |
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| Hopfield
Hopfield neural network. |
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| Instar
Instar neural network with Instar learning rule. |
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| Kohonen
Kohonen neural network. |
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| MaxNet
Max Net neural network with competitive learning rule. |
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| MultiLayerPerceptron
Multi Layer Perceptron neural network with Back propagation learning algorithm. |
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| Outstar
Outstar neural network with Outstar learning rule. |
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| Perceptron
Perceptron neural network with some LMS based learning algorithm. |
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| RbfNetwork
Radial basis function neural network. |
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| SupervisedHebbianNetwork
Hebbian neural network with supervised Hebbian learning algorithm. |
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| UnsupervisedHebbianNetwork
Hebbian neural network with unsupervised Hebbian learning algorithm. |
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