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Description
| Class Summary | |
|---|---|
| BackPropagation | Back Propagation learning rule for Multi Layer Perceptron neural networks. |
| BinaryHebbianLearning | Hebbian-like learning algorithm used for Hopfield network. |
| CompetitiveLearning | Competitive learning rule. |
| HopfieldLearning | Learning algorithm for the Hopfield neural network. |
| InstarLearning | Hebbian-like learning rule for Instar network. |
| KohonenLearning | Learning algorithm for Kohonen network. |
| LMS | LMS learning rule for neural networks. |
| MomentumBackpropagation | Backpropagation learning rule with momentum. |
| OjaLearning | Oja learning rule wich is a modification of unsupervised hebbian learning. |
| OutstarLearning | Hebbian-like learning rule for Outstar network. |
| SigmoidDeltaRule | Delta rule learning algorithm for perceptrons with sigmoid functions. |
| StepDeltaRule | Delta rule learning algorithm for perceptrons with step functions. |
| SupervisedHebbianLearning | Supervised hebbian learning rule. |
| UnsupervisedHebbianLearning | Unsupervised hebbian learning rule. |
Provides implementations of specific neural network learning algorithms.
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