Question

自己写的一个Matlab的SVM回归程序，请求帮助

Answer 1

riverdata=[8.07 48.8 0.27 0.0191 3.0;2.70 200.0 1.55 0.074 1500.0;2.35 70 0.43 0.10 110;
3.84 72 0.76 0.13 260;0.85 47.0 0.32 0.067 14.0;2.10 60.0 0.94 0.104 54.0;
2.1 53 0.83 0.107 47;0.4 19 0.16 0.116 9.9;0.85 34 0.15 0.055 9.5;
0.76 64.0 0.67 0.27 35;1.56 24 0.71 0.043 9.6;1.1 59 0.88 0.12 42;
2.16 69 1.55 0.17 160;0.94 26 0.34 0.067 33;0.91 37 0.4 0.067 39;
2.04 104 0.58 0.05 315;4.75 127 0.64 0.08 670;0.49 16.0 0.27 0.08 20;
0.85 18 0.6 0.1 21;0.58 25 1.01 0.14 14;2.47 34 0.82 0.18 65;
0.43 16 0.37 0.05 14;0.58 36 0.21 0.049 8.1];
riverdata_train=riverdata(1:16,1:4);
riverdata_trainlabels=riverdata(1:16,5);
riverdata_test=riverdata(17:23,1:4);
riverdata_testlabels=riverdata(17:23,5);
%优选参数
bestmse=1;
for log2c = -10:10,
for log2g=-10:10,
cmd=['-v 4 -c',num2str(2^log2c),'-g',num2str(2^log2g),'-s 3 -p 0.4 -n 0.1'];
cv=svmtrain(riverdata_trainlabels,riverdata_train,cmd);
if (cv<bestmse),
bestmse=cv;bestc=2^log2c;bestg=2^log2g;
end
end
end