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Packages that use org.neuroph.nnet | |
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org.neuroph.nnet.learning | This package provides implementations of concrete neural network learning algorithms. |
org.neuroph.util | This package 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
The Kohonen class represents Kohonen neural network. |
Classes in org.neuroph.nnet used by org.neuroph.util | |
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Adaline
The Adaline class represents Adaline neural network architecture with LMS learning rule. |
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BAM
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CompetitiveNetwork
The CompetitiveNetwork class represents neural network with competitive learning rule. |
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Hopfield
The Hopfield class represents Hopfield neural network. |
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Instar
The Instar class represents Instar neural network with Instar learning rule. |
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Kohonen
The Kohonen class represents Kohonen neural network. |
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MaxNet
The MaxNet class represents Max Net neural network with competitive learning rule. |
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MultiLayerPerceptron
The MultiLayerPerceptron class that represents Multi Layer Perceptron neural network with Back propagation learning algorithm. |
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Outstar
The Outstar class represents Outstar neural network with Outstar learning rule. |
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Perceptron
The Perceptron class that represents Perceptron neural network with some LMS based learning algorithm. |
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RbfNetwork
The RbfNetwork class represents Radial basis function neural network. |
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SupervisedHebbianNetwork
The SupervisedHebbianNetwork class that represents Hebbian neural network with supervised hebbian learning algorithm. |
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UnsupervisedHebbianNetwork
The UnsupervisedHebbianNetwork class that represents Hebbian neural network with Unsupervised Hebbian learning algorithm. |
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