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Description
Class Summary | |
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AntiHebbianLearning | A variant of Hebbian learning called Anti-Hebbian learning. |
BackPropagation | Back Propagation learning rule for Multi Layer Perceptron neural networks. |
BinaryDeltaRule | Delta rule learning algorithm for perceptrons with step functions. |
BinaryHebbianLearning | Hebbian-like learning algorithm used for Hopfield network. |
CompetitiveLearning | Competitive learning rule. |
DynamicBackPropagation | Backpropagation learning rule with dynamic learning rate and momentum |
GeneralizedHebbianLearning | A variant of Hebbian learning called Generalized Hebbian learning. |
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. |
PerceptronLearning | Perceptron learning rule for perceptron neural networks. |
ResilientPropagation | Resilient Propagation learning rule used for Multi Layer Perceptron neural networks. |
SigmoidDeltaRule | Delta rule learning algorithm for perceptrons with sigmoid (or any other diferentiable continuous) functions. |
SimulatedAnnealingLearning | This class implements a simulated annealing learning rule for supervised neural networks. |
SupervisedHebbianLearning | Supervised hebbian learning rule. |
UnsupervisedHebbianLearning | Unsupervised hebbian learning rule. |
Provides implementations of specific neural network learning algorithms.
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