jhpro.nnet.jknnl

Class HiperbolicFunctionalFactor

java.lang.Object

jhpro.nnet.jknnl.HiperbolicFunctionalFactor

All Implemented Interfaces:

LearningFactorFunctionalModel

public class HiperbolicFunctionalFactor
extends java.lang.Object
implements LearningFactorFunctionalModel

Hyperbolic Function describe by function c1/(c2 + k)
where:
c1, c2 - parameters k - iteration number

Constructor Summary

Constructors

Constructor and Description
HiperbolicFunctionalFactor(double c1, double c2) Creates a new instance of HiperbolicFunctionalFactor with specified parameters c1, c2

Method Summary

Modifier and Type	Method and Description
double[]	getParameters() Get function parameters.
double	getValue(int k) Return function value for specified iteration.
void	setParameters(double[] parameters) Set function parameters.

Methods inherited from class java.lang.Object

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

Constructor Detail

HiperbolicFunctionalFactor

public HiperbolicFunctionalFactor(double c1,
                                  double c2)

Creates a new instance of HiperbolicFunctionalFactor with specified parameters c1, c2

Parameters:

c1 - parameter

c2 - parameter

Method Detail

getParameters

public double[] getParameters()

Get function parameters. First value at the array is n0 second maxIteration

Specified by:

getParameters in interface LearningFactorFunctionalModel

Returns:

Array of parameters

setParameters

public void setParameters(double[] parameters)

Set function parameters. First value at the array is n0 second maxIteration

Specified by:

setParameters in interface LearningFactorFunctionalModel

Parameters:

parameters - array of parameters

getValue

public double getValue(int k)

Return function value for specified iteration. Value is independent of the iteration and is the same as parameters

Specified by:

getValue in interface LearningFactorFunctionalModel

Parameters:

k - iteration number

Returns:

value of function factor