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Neuroph | |||||||||
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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. |
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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Neuroph | |||||||||
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