How can I write a program on Extreme Learning ANFIS? What are the steps involved in writing the program? (There is no toolbox in MATLAB on ELANFIS.)
this link may be useful: http://www.mathworks.com/help/fuzzy/anfis.html
this code may be help you:
x=[-10:.5:10]'; y=-2*x-x.*x;
% Plot of parabola
figure; plot(x,y)
grid
xlabel('x');ylabel('output');title('Nonlinear characteristics')
% Store data in appropriate form for genfis1 and anfis and plot it
data=[x y];
trndata=data(1:2:size(x),:);
chkdata=data(2:2:size(x),:);
% Plot of training and checking data generated from parabolic equation
figure; plot(trndata(:,1),trndata(:,2),'o',chkdata(:,1),chkdata(:,2),'x')
xlabel('x');ylabel('output');title('Measurement data'); grid
%Initialize the fuzzy system with command genfis1. Use 5 bellshaped membership functions.
nu=4; mftype='gbellmf'; fismat=genfis1(trndata, nu, mftype);
%The initial membership functions produced by genfis1 are plotted
figure; plotmf(fismat,'input',1)
xlabel('x');ylabel('output');title('Initial membership functions');
grid
% Apply anfis-command to find the best FIS system - max number of iterations = 100
numep=100;
[parab, trnerr,ss,parabcheck,chkerr]=anfis(trndata,fismat,numep,[],chkdata);
%Evaluate the output of FIS system using input x
anfi=evalfis(x,parab);
% Plot of trained fuzzy system using trained data
figure; plot(trndata(:,1),trndata(:,2),'o',chkdata(:,1),chkdata(:,2),'x',x,anfi,'-')
grid
xlabel('x');ylabel('output');title('Goodness of fit')
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