keel.Algorithms.RE_SL_Postprocess.Post_G_T_LatAmp_FRBSs

Class Ecm

java.lang.Object

keel.Algorithms.RE_SL_Postprocess.Post_G_T_LatAmp_FRBSs.Ecm

public class Ecm
extends java.lang.Object

The class that contains the functions to do the mean square error(MSE)

Author:

Diana Arquillos

Constructor Summary

Constructors

Constructor and Description
Ecm(int long_tabla_tra, double[][] vtra, double[] stra, int long_tabla_tst, double[][] vtest, double[] stest, int n_variables, int reglas, int var, double sal, double[] v) Constructor of the class

Method Summary

Modifier and Type	Method and Description
Base	base() Returns the fuzzy rules base.
double	ECM_tra(double[] cromosoma, double[] cromosomaA, char[] cromosomaR, int n_reglas_total) It calculates the mean square error(MSE) of the training data
double	ECM_tst(double[] cromosoma, double[] cromosomaA, char[] cromosomaR, int n_reglas_total) It calculates the mean square error(MSE) of the test data
double	eval_EC(double[] cromosoma, double[] cromosomaA, char[] cromosomaR, int n_reglas_total) It calculates the mean square error(MSE) of the training data
int	num_reglas() Returns the number of rules generated.

Methods inherited from class java.lang.Object

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

Constructor Detail

Ecm

public Ecm(int long_tabla_tra,
           double[][] vtra,
           double[] stra,
           int long_tabla_tst,
           double[][] vtest,
           double[] stest,
           int n_variables,
           int reglas,
           int var,
           double sal,
           double[] v)

Constructor of the class

Parameters:

long_tabla_tra - it contains the size of the training table

vtra - it contains the input training data

stra - it contains the output training data

long_tabla_tst - it contains the size of the test table

vtest - it contains the input training data

stest - it contains the output training data

n_variables - it contains the number of variables

reglas - it contains the number of rules

var - it contains the number of state variables

sal - it contains the defect exit value

v - it contains the values of data base

Method Detail

base

public Base base()

Returns the fuzzy rules base.

Returns:

the fuzzy rules base.

num_reglas

public int num_reglas()

Returns the number of rules generated.

Returns:

number of rules generated.

ECM_tra

public double ECM_tra(double[] cromosoma,
                      double[] cromosomaA,
                      char[] cromosomaR,
                      int n_reglas_total)

It calculates the mean square error(MSE) of the training data

Parameters:

cromosoma - it contains the chromosome values

cromosomaA - it contains the chromosome of amplitude values

cromosomaR - it contains the chromosome of rules values

n_reglas_total - the number of total rules

Returns:

the mean square error

ECM_tst

public double ECM_tst(double[] cromosoma,
                      double[] cromosomaA,
                      char[] cromosomaR,
                      int n_reglas_total)

It calculates the mean square error(MSE) of the test data

Parameters:

cromosoma - it contains the chromosome values

cromosomaA - it contains the chromosome of amplitude values

cromosomaR - it contains the chromosome of rules values

n_reglas_total - the number of total rules

Returns:

the mean square error

eval_EC

public double eval_EC(double[] cromosoma,
                      double[] cromosomaA,
                      char[] cromosomaR,
                      int n_reglas_total)

It calculates the mean square error(MSE) of the training data

Parameters:

cromosoma - it contains the chromosome values

cromosomaA - it contains the chromosome of amplitude values

cromosomaR - it contains the chromosome of rules values

n_reglas_total - the number of total rules

Returns:

the mean square error