Package org.encog.engine.network.activation

This package contains all of the classes for activation functions.

See:
Description

Interface Summary

ActivationFunction

This interface allows various activation functions to be used with the neural network.

Class Summary

ActivationBiPolar	BiPolar activation function.
ActivationCompetitive	An activation function that only allows a specified number, usually one, of the out-bound connection to win.
ActivationGaussian	An activation function based on the gaussian function.
ActivationLinear	The Linear layer is really not an activation function at all.
ActivationLOG	An activation function based on the logarithm function.
ActivationRamp	A ramp activation function.
ActivationSigmoid	The sigmoid activation function takes on a sigmoidal shape.
ActivationSIN	An activation function based on the sin function.
ActivationSoftMax	The softmax activation function.
ActivationStep	The step activation function is a very simple activation function.
ActivationTANH	The hyperbolic tangent activation function takes the curved shape of the hyperbolic tangent.

Package org.encog.engine.network.activation Description

This package contains all of the classes for activation functions.