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

Packages that use IterativeLearning

Package	Description
org.neuroph.core.learning	Provides base classes for neural network learning algorithms.
org.neuroph.core.learning.stop	Provides stop functions for learning rules
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

Modifier and Type	Class and Description
class	SupervisedLearning Base class for all supervised learning algorithms.
class	UnsupervisedLearning Base class for all unsupervised learning algorithms.

Uses of IterativeLearning in org.neuroph.core.learning.stop

Constructors in org.neuroph.core.learning.stop with parameters of type IterativeLearning

Constructor and Description
MaxIterationsStop(IterativeLearning learningRule)

Uses of IterativeLearning in org.neuroph.nnet.learning

Subclasses of IterativeLearning in org.neuroph.nnet.learning

Modifier and Type	Class and Description
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	ConvolutionalBackpropagation
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	ManhattanPropagation
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	QuickPropagation
class	RBFLearning Learning rule for Radial Basis Function 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.