keel.Algorithms.Neural_Networks.RBFN_decremental

Class Rbf

java.lang.Object

keel.Algorithms.Neural_Networks.RBFN_decremental.Rbf

All Implemented Interfaces:

java.lang.Cloneable

public class Rbf
extends java.lang.Object
implements java.lang.Cloneable

This class codified a neuron or a RBF

Since:

JDK1.5

Version:

1.0

Author:

Writen by Antonio J. Rivera Rivas (University of Jaen) 03/03/2004, Modified by Maria Dolores Perez Godoy (University of Jaen) 17/12/2008

Constructor Summary

Constructors

Constructor and Description
Rbf(int inpt, int outp) Creates a new instance of neuron/rbf
Rbf(int inpt, int outp, int _vectors) Creates a new instance of neuron/rbf

Method Summary

Modifier and Type	Method and Description
java.lang.Object	clone() Clones a neuron/rbf
double	euclideaDist(double[] v) Computes the euclidean distance between a neuron and a vector
double	evaluationRbf(double[] _input) Computes the ouput of a RBF
double[]	getCentre() Gets the vector of centres of a neuron
double	getRadius() Gets the radius of a neuron
double	getWeight(int i) Gets the ith weight of a neuron
double[]	getWeights() Gets the weights of a neuron
void	printRbf() Prints neuron on std out
void	printRbf(java.lang.String _fileName) Prints neuron on a file.
void	setCentre(double[] c) Sets the vector of centres of a neuron
void	setParam(double[] c, double r, double[] w) Sets the main parameters of a neuron
void	setParam(double[] c, double r, double[] w, int _vectors) Sets the main parameters of a neuron
void	setRadius(double r) Sets the radius of a neuron
void	setWeight(double[] w) Sets the weights of a neuron
void	setWeight(int i, double val) Sets the ith weight of a neuron

Methods inherited from class java.lang.Object

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

Constructor Detail

Rbf

public Rbf(int inpt,
           int outp)

Creates a new instance of neuron/rbf

Parameters:

inpt - Number of inputs

outp - Number of outputs

Rbf

public Rbf(int inpt,
           int outp,
           int _vectors)

Creates a new instance of neuron/rbf

Parameters:

inpt - Number of inputs

outp - Number of outputs

_vectors -

Method Detail

clone

public java.lang.Object clone()

Clones a neuron/rbf

Overrides:

clone in class java.lang.Object

Returns:

a copy of a neuron

setParam

public void setParam(double[] c,
                     double r,
                     double[] w)

Sets the main parameters of a neuron

Parameters:

c - Vector of centres

r - Radius

w - Weights

setParam

public void setParam(double[] c,
                     double r,
                     double[] w,
                     int _vectors)

Sets the main parameters of a neuron

Parameters:

c - Vector of centres

r - Radius

w - Weights

_vectors -

getCentre

public double[] getCentre()

Gets the vector of centres of a neuron

Returns:

A vector of doubles with centre of a neuron

setCentre

public void setCentre(double[] c)

Sets the vector of centres of a neuron

Parameters:

c - centre of a neuron

getRadius

public double getRadius()

Gets the radius of a neuron

Returns:

A double with the radius of a neuron

setRadius

public void setRadius(double r)

Sets the radius of a neuron

Parameters:

r - Radius of a neuron

getWeights

public double[] getWeights()

Gets the weights of a neuron

Returns:

A vector of doubles with the weights of a neuron

setWeight

public void setWeight(double[] w)

Sets the weights of a neuron

Parameters:

w - A vector of doubles with the weights of a neuron

getWeight

public double getWeight(int i)

Gets the ith weight of a neuron

Parameters:

i - Index of weights of a neuron to get

Returns:

A double with weight to get

setWeight

public void setWeight(int i,
                      double val)

Sets the ith weight of a neuron

Parameters:

i - Index of weights of a neuron to set

val - Value of the weight

euclideaDist

public double euclideaDist(double[] v)

Computes the euclidean distance between a neuron and a vector

Parameters:

v - A vector

Returns:

A double with the euclidean distance

evaluationRbf

public double evaluationRbf(double[] _input)

Computes the ouput of a RBF

Parameters:

_input - Input vector

Returns:

The ouput of a RBF

printRbf

public void printRbf()

Prints neuron on std out

printRbf

public void printRbf(java.lang.String _fileName)

Prints neuron on a file.

Parameters:

_fileName - Name of the file.