Uses of Class
org.neuroph.nnet.learning.LMS

Packages that use LMS

Package	Description
org.neuroph.nnet.learning	Provides implementations of specific neural network learning algorithms.

Uses of LMS in org.neuroph.nnet.learning

Subclasses of LMS 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	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	SupervisedHebbianLearning Supervised hebbian learning rule.