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

Packages that use SupervisedLearning
org.neuroph.nnet.learning | Provides implementations of specific neural network learning algorithms.

Uses of SupervisedLearning in org.neuroph.nnet.learning

Subclasses of SupervisedLearning 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` | `LMS` LMS learning rule for neural networks.
`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` | `SimulatedAnnealingLearning` This class implements a simulated annealing learning rule for supervised neural networks.
`class` | `SupervisedHebbianLearning` Supervised hebbian learning rule.

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