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Packages that use IterativeLearning | |
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org.neuroph.core.learning | This package provides base classes for neural network learning algorithms. |
org.neuroph.nnet.learning | This package provides implementations of concrete neural network learning algorithms. |
Uses of IterativeLearning in org.neuroph.core.learning |
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Subclasses of IterativeLearning in org.neuroph.core.learning | |
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SupervisedLearning
The SupervisedLearning class is the base class for all supervised learning algorithms. |
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UnsupervisedLearning
The UnsupervisedLearning class is the base class for all unsupervised learning algorithms. |
Uses of IterativeLearning in org.neuroph.nnet.learning |
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Subclasses of IterativeLearning in org.neuroph.nnet.learning | |
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BackPropagation
The BackPropagation class is the Back Propagation learning rule for Multi Layer Perceptron neural networks. |
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BinaryHebbianLearning
Hebbian-like learning algorithm used Hopfield network. |
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CompetitiveLearning
The CompetitiveLearning class implements competitive learning rule. |
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InstarLearning
The InstarLearning class implements hebbian-like learning rule for Instar network. |
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LMS
The LMS class implements LMS learning rule for neural networks. |
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MomentumBackpropagation
The MomentumBackpropagation class implements backpropagation learning rule with momentum factor. |
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OjaLearning
The OjaLearning class implements oja learning rule wich is a kind of unsupervised hebbian learning. |
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OutstarLearning
The OutstarLearning class implements hebbian-like learning rule for Outstar network. |
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SigmoidDeltaRule
The SigmoidDeltaRule class extends LMS learning rule an implements Delta rule learning algorithm for perceptrons with sigmoid functions. |
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StepDeltaRule
The StepDeltaRule class implements Delta rule learning algorithm for perceptrons with step functions. |
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SupervisedHebbianLearning
The SupervisedHebbianLearning class implements supervised hebbian learning rule. |
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UnsupervisedHebbianLearning
The UnsupervisedHebbianLearning class implements unsupervised hebbian learning rule. |
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