cc.glsn.v15.neuralnet
Class CubeFunction

java.lang.Object
  cc.glsn.v15.neuralnet.CubeFunction

All Implemented Interfaces:

NetFunction, Serializable

public class CubeFunction
extends Object
implements NetFunction

Cube activation function Probably should not be used. I just threw it in so that I would have a function my calculus deficient clown ass might be able to take the derivitive of.

g(x) = x^3

g'(x) = 3x^2

See Also:

Serialized Form

Constructor Summary

CubeFunction()

Method Summary

double	functionG(double x) returns
double	functionGprime(double x) get derivitive of function for input x used for back propogation learning

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CubeFunction

public CubeFunction()

Method Detail

functionG

public double functionG(double x)

returns

Specified by:

functionG in interface NetFunction

Parameters:

x - - input

Returns:

value - g'(x)

functionGprime

public double functionGprime(double x)

Description copied from interface: NetFunction

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

Specified by:

functionGprime in interface NetFunction

Parameters:

x - - input

Returns:

derivitive - g'(x)