Package org.neuroph.nnet.learning

Provides implementations of specific neural network learning algorithms.

See:
          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.
DynamicBackPropagation Backpropagation learning rule with momentum and dynamic learning rate
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.
 

Package org.neuroph.nnet.learning Description

Provides implementations of specific neural network learning algorithms.