JFCM

Java Fuzzy Cognitive Maps

Activation functions

The concept of activation function has been borrowed from neural networks. Basically, it is a function that calculates the output of a concept based on its inputs, usually on the total sum. JFCM implements many of the most used activation functions found in literature, below we can see the activation charts of them.

CauchyActivator

Chart of CauchyActivator activator

GaussianActivator

Chart of GaussianActivator activator

HyperbolicTangentActivator

Chart of HyperbolicTangentActivator activator

IntervalActivator

Chart of IntervalActivator activator

LinearActivator

Chart of LinearActivator activator

NaryActivator

Chart of NaryActivator activator

SigmoidActivator

Chart of SigmoidActivator activator

SignumActivator

Chart of SignumActivator activator


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