fuzz.m

This code is example code for using fuzzzy logic training

% The 3-Input ANFIS Model Matlab Files
% Computer Program for training and testing the ANFIS model when used
% to predict the top-oil temperature of the 8 MVA transformer.
% See Figures 5.21, 5.22, 5.23 and 5.24 of the thesis.
% 
close all
clear all
% Load the input training data set i.e 1702 samples over 35.5 days
load input_train.dat;
% Load the input test data set i.e 1702 samples over 35.5 days
load input_test.dat;
% Load the output training data set i.e 1702 samples over 35.5 days
load output_train_top.dat;
% Load the output test data set i.e 1702 samples over 35.5 days
load output_test_top.dat;
% Let x1 be the input training data set
x1=input_train;
% Let x2 be the input test data set
x2=input_test;
% Let y1 be the output training data set
y1=output_train_top;
% Let y2 be the output test data set
y2=output_test_top;
% To create a training data set
traindata=[x1 y1];
% To create a test data set
testdata =[x2 y2];
%======================================================================
% Genfis1: generates an initial Sugeno-type FIS for the ANFIS training
% using a grid partition.
% Number of membership functions: 2
% Type of membership functions: gaussmf
%======================================================================
mfType = str2mat(抔aussmf