jhpro.nnet.jknnl

Class LinearFunctionalFactor

java.lang.Object

jhpro.nnet.jknnl.LinearFunctionalFactor

All Implemented Interfaces:

LearningFactorFunctionalModel

public class LinearFunctionalFactor
extends java.lang.Object
implements LearningFactorFunctionalModel

Linear function describe by: y = (n0 / maxIter) * (maxIter - iter) where:
y - output value
n0 - maximal factor
maxIter - maximal number of iteration
iter - iteration number

Constructor Summary

Constructors

Constructor and Description
LinearFunctionalFactor(double n0, double maxIteration) Creates a new instance of LinearFunctionalFactor

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

LinearFunctionalFactor

public LinearFunctionalFactor(double n0,
                              double maxIteration)

Creates a new instance of LinearFunctionalFactor

Parameters:

n0 - maximal factor

maxIteration - maximal number of iteration

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

Specified by:

getValue in interface LearningFactorFunctionalModel

Parameters:

k - iteration

Returns:

function value for specified iteration