Uses of Class
org.neuroph.core.learning.IterativeLearning

Packages that use IterativeLearning
org.neuroph.core.learning Provides base classes for neural network learning algorithms. 
org.neuroph.nnet.learning Provides implementations of specific neural network learning algorithms. 
 

Uses of IterativeLearning in org.neuroph.core.learning
 

Subclasses of IterativeLearning in org.neuroph.core.learning
 class SupervisedLearning
          Base class for all supervised learning algorithms.
 class UnsupervisedLearning
          Base class for all unsupervised learning algorithms.
 

Uses of IterativeLearning in org.neuroph.nnet.learning
 

Subclasses of IterativeLearning in org.neuroph.nnet.learning
 class AntiHebbianLearning
          A variant of Hebbian learning called Anti-Hebbian learning.
 class BackPropagation
          Back Propagation learning rule for Multi Layer Perceptron neural networks.
 class BinaryDeltaRule
          Delta rule learning algorithm for perceptrons with step functions.
 class BinaryHebbianLearning
          Hebbian-like learning algorithm used for Hopfield network.
 class CompetitiveLearning
          Competitive learning rule.
 class DynamicBackPropagation
          Backpropagation learning rule with dynamic learning rate and momentum
 class GeneralizedHebbianLearning
          A variant of Hebbian learning called Generalized Hebbian learning.
 class InstarLearning
          Hebbian-like learning rule for Instar network.
 class LMS
          LMS learning rule for neural networks.
 class MomentumBackpropagation
          Backpropagation learning rule with momentum.
 class OjaLearning
          Oja learning rule wich is a modification of unsupervised hebbian learning.
 class OutstarLearning
          Hebbian-like learning rule for Outstar network.
 class PerceptronLearning
          Perceptron learning rule for perceptron neural networks.
 class ResilientPropagation
          Resilient Propagation learning rule used for Multi Layer Perceptron neural networks.
 class SigmoidDeltaRule
          Delta rule learning algorithm for perceptrons with sigmoid (or any other diferentiable continuous) functions.
 class SimulatedAnnealingLearning
          This class implements a simulated annealing learning rule for supervised neural networks.
 class SupervisedHebbianLearning
          Supervised hebbian learning rule.
 class UnsupervisedHebbianLearning
          Unsupervised hebbian learning rule.
 



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