JFCM

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

GaussianActivator

HyperbolicTangentActivator

IntervalActivator

LinearActivator

NaryActivator

SigmoidActivator

SignumActivator