demor1.m

SVM支持向量机 里面包含一个教程

clear
close all
echo on;

X = (-6:0.1:6)';
Y = (sin(pi.*X+eps)./(pi.*X+eps))+0.2*sin(X*10)+normrnd(0,0.1,length(X),1);
Xt = (-6:.01:6)';


% train
gam = 2;
sig2 = 0.02;
[alpha,b] = trainlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'});

% simulate 
Yt = simlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'},{alpha,b}, Xt);

% make-a-plot
figure;
plotlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'},{alpha,b});
hold on; plot(Xt,sinc(Xt),'r-.'); hold off


disp('press <ENTER>');
pause



% train
gam = 100;
sig2 = 0.02;
[alpha,b] = trainlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'});

% simulate 
Yt = simlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'},{alpha,b}, Xt);

% make-a-plot
figure;
plotlssvm({X,Y,'function',gam,sig2,'RBF_kernel','preprocess'},{alpha,b});
hold on; plot(Xt,(sin(pi.*Xt+eps)./(pi.*Xt+eps))+0.2*sin(10*Xt),'r-.'); hold off


echo off