cc.glsn.v15.neuralnet
Class LinearFunction

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

All Implemented Interfaces:

NetFunction, Serializable

public class LinearFunction
extends Object
implements NetFunction

Linear activation function. Proably should not be used.

g(x) = 2x - 1

g'(x) = 2

See Also:

Serialized Form

Constructor Summary

LinearFunction()

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearFunction

public LinearFunction()

Method Detail

functionG

public double functionG(double x)

Description copied from interface: NetFunction

get output for input of x

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)