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.



Copyright © 2011. All Rights Reserved.