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

Packages that use SupervisedLearning

Package	Description
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 SupervisedLearning in org.neuroph.core.learning.stop

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

Constructor and Description
MaxErrorStop(SupervisedLearning learningRule)
SmallErrorChangeStop(SupervisedLearning learningRule)

Uses of SupervisedLearning in org.neuroph.nnet.learning

Subclasses of SupervisedLearning in org.neuroph.nnet.learning

Modifier and Type	Class and Description
class	BackPropagation Back Propagation learning rule for Multi Layer Perceptron neural networks.
class	BinaryDeltaRule Delta rule learning algorithm for perceptrons with step functions.
class	ConvolutionalBackpropagation
class	DynamicBackPropagation Backpropagation learning rule with dynamic learning rate and momentum
class	LMS LMS learning rule for neural networks.
class	ManhattanPropagation
class	MomentumBackpropagation Backpropagation learning rule with momentum.
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.