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## Package org.joone.engine.extenders

Class Summary
BatchModeExtender | This class implements the offline learning, that is, batch mode.
DeltaRuleExtender | This abstract class describes the methods needed for a delta rule extender, that is, a class that computes / changes the delta (update weight) value according to some algorithm.
GradientExtender | This abstract class describes the methods needed for a gradient extender, that is, a class that computes / changes the gradient value according to some algorithm.
LearnerExtender | This abstract class describes the methods that any learner extender must provide.
MomentumExtender | This extender implements the momentum term.
OnlineModeExtender | This is the default weight updater (online).
RpropExtender | This class changes the delta value in such a way that it implements the RPROP algorithm.
SimulatedAnnealingExtender | Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response.
UpdateWeightExtender | This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g. batch mode).
WeightDecayExtender | Weight decay adds a penalty term to the error function.

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