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Description
Class Summary | |
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BackPropagation | The BackPropagation class is the Back Propagation learning rule for Multi Layer Perceptron neural networks. |
BinaryHebbianLearning | Hebbian-like learning algorithm used Hopfield network. |
CompetitiveLearning | The CompetitiveLearning class implements competitive learning rule. |
HopfieldLearning | The HopfieldLearning class implements learning algorithm for the Hopfield neural network. |
InstarLearning | The InstarLearning class implements hebbian-like learning rule for Instar network. |
KohonenLearning | The KohonenLearning implements the learning algorithm for Kohonen network. |
LMS | The LMS class implements LMS learning rule for neural networks. |
MomentumBackpropagation | The MomentumBackpropagation class implements backpropagation learning rule with momentum factor. |
OjaLearning | The OjaLearning class implements oja learning rule wich is a kind of unsupervised hebbian learning. |
OutstarLearning | The OutstarLearning class implements hebbian-like learning rule for Outstar network. |
SigmoidDeltaRule | The SigmoidDeltaRule class extends LMS learning rule an implements Delta rule learning algorithm for perceptrons with sigmoid functions. |
StepDeltaRule | The StepDeltaRule class implements Delta rule learning algorithm for perceptrons with step functions. |
SupervisedHebbianLearning | The SupervisedHebbianLearning class implements supervised hebbian learning rule. |
UnsupervisedHebbianLearning | The UnsupervisedHebbianLearning class implements unsupervised hebbian learning rule. |
This package provides implementations of concrete neural network learning algorithms.
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