cc.glsn.v15.neuralnet

Interface NetFunction

All Superinterfaces:

Serializable

All Known Implementing Classes:

CubeFunction, LinearFunction, SigmoidFunction

public interface NetFunction
extends Serializable

Interface for classes providing activation functions for neural networks.

Method Summary

Methods

Modifier and Type	Method and Description
double	functionG(double x) get output for input of x
double	functionGprime(double x) get derivitive of function for input x used for back propogation learning

Method Detail

functionG

double functionG(double x)

get output for input of x

Parameters:

x - - input

Returns:

value - g'(x)

functionGprime

double functionGprime(double x)

get derivitive of function for input x used for back propogation learning

Parameters:

x - - input

Returns:

derivitive - g'(x)