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Neuroph | |||||||||
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Packages that use LearningRule | |
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org.neuroph.core | This package provides base classes and basic building components for neural networks. |
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 LearningRule in org.neuroph.core |
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Fields in org.neuroph.core declared as LearningRule | |
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private LearningRule |
NeuralNetwork.learningRule
Learning rule for this network |
Methods in org.neuroph.core that return LearningRule | |
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LearningRule |
NeuralNetwork.getLearningRule()
Returns learning algorithm |
Methods in org.neuroph.core with parameters of type LearningRule | |
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void |
NeuralNetwork.setLearningRule(LearningRule learningRule)
Sets learning algorithm for this network |
Uses of LearningRule in org.neuroph.core.learning |
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Subclasses of LearningRule in org.neuroph.core.learning | |
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class |
IterativeLearning
The IterativeLearning class is the base class for all iterative learning algorithms. |
class |
SupervisedLearning
The SupervisedLearning class is the base class for all supervised learning algorithms. |
class |
UnsupervisedLearning
The UnsupervisedLearning class is the base class for all unsupervised learning algorithms. |
Uses of LearningRule in org.neuroph.nnet.learning |
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Subclasses of LearningRule in org.neuroph.nnet.learning | |
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class |
BackPropagation
The BackPropagation class is the Back Propagation learning rule for Multi Layer Perceptron neural networks. |
class |
CompetitiveLearning
The CompetitiveLearning class implements competitive learning rule. |
class |
HopfieldLearning
The HopfieldLearning class implements learning algorithm for the Hopfield neural network. |
class |
KohonenLearning
The KohonenLearning implements the learning algorithm for Kohonen network. |
class |
LMS
The LMS class implements LMS learning rule for neural networks. |
class |
OjaLearning
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class |
SigmoidDeltaRule
The SigmoidDeltaRule class extends LMS learning rule an implements Delta rule learning algorithm for perceptrons with sigmoid functions. |
class |
StepDeltaRule
The StepDeltaRule class implements Delta rule learning algorithm for perceptrons with step functions. |
class |
SupervisedHebbianLearning
The SupervisedHebbianLearning class implements supervised hebbian learning rule. |
class |
UnsupervisedHebbianLearning
The UnsupervisedHebbianLearning class implements unsupervised hebbian learning rule. |
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