|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use LMS | |
---|---|
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 | |
---|---|
class |
BackPropagation
Back Propagation learning rule for Multi Layer Perceptron neural networks. |
class |
BinaryDeltaRule
Delta rule learning algorithm for perceptrons with step functions. |
class |
DynamicBackPropagation
Backpropagation learning rule with dynamic learning rate and momentum |
class |
MomentumBackpropagation
Backpropagation learning rule with momentum. |
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 |
SupervisedHebbianLearning
Supervised hebbian learning rule. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |