R=[134.972961100000,15989.3046000000,1492597.77800000,3.40790271200000;
269.608102000000,31907.3332400000,5947109.56900000,3.40790271200000;
672.135466000000,79297.5187200000,36797224.2400000,17.0307146700000;
939.537699500000,110609.085900000,71681393.9300000,23.8540848400000;
295.777975500000,35504.8105700000,7263170.77000000,7.36954974600000;
481.514152600000,57723.9934500000,19212865.0500000,12.0115579000000;
982.603474600000,117353.154100000,79579747.3000000,24.5968228800000;
170.905795000000,20839.0898200000,2465657.65200000,4.19338087700000;
320.203003500000,39007.7869400000,8643798.98600000,7.86322989100000;
511.878867400000,62278.7678400000,22049524.5300000,12.5849698200000;
745.764725400000,90587.3586700000,46693775.3900000,18.3624642100000;
187.217091700000,23177.9398300000,3006232.60900000,4.52562385900000;
342.999747900000,42427.1437500000,10078084.3400000,8.29800341100000;
540.061174800000,66721.0961100000,24941406.8700000,13.0798579400000;
1057.35455900000,130177.369800000,95133400.9600000,25.6873477800000];
X=R';
D=[0.100000000000000,0.100000000000000;
0.100000000000000,0.150000000000000;
0.100000000000000,0.250000000000000;
0.100000000000000,0.300000000000000;
0.150000000000000,0.150000000000000;
0.150000000000000,0.200000000000000;
0.150000000000000,0.300000000000000;
0.200000000000000,0.100000000000000;
0.200000000000000,0.150000000000000;
0.200000000000000,0.200000000000000;
0.200000000000000,0.250000000000000;
0.250000000000000,0.100000000000000;
0.250000000000000,0.150000000000000;
0.250000000000000,0.200000000000000;
0.250000000000000,0.300000000000000];
Y=D';
R_test=[448.740003800000,53034.5057300000,16442940.3700000,11.3532774800000;
153.508237000000,18444.3821400000,1959051.78900000,3.82173486600000;
710.527095000000,85033.9431700000,41733485.6700000,17.7524389600000;
1021.66656700000,123855.291800000,87386886.7200000,25.2005793400000;
778.241067800000,95996.5073900000,51676861.5700000,18.8748137000000];
Xt=R_test';
D_test=[0.100000000000000,0.200000000000000;
0.150000000000000,0.100000000000000;
0.150000000000000,0.250000000000000;
0.200000000000000,0.300000000000000;
0.250000000000000,0.250000000000000];
Yt=D_test';
type = 'function estimation';
kernel = 'RBF_kernel';
gam = [10]; %正则化参数
sig2 = [32]; % 内核参数'
model = initlssvm(X,Y,type,gam,sig2,kernel); % 模型初始化
%---------------------------------------------------
% 训练与测试
model = trainlssvm(model); % 训练
Yp = simlssvm(model,Xt); % 回归
%---------------------------------------------------
% 结果作图
plot(1:length(Yt),Yt,'r+:',1:length(Yp),Yp,'bo:')
title('+为真实值，o为预测值')
错误使用 initlssvm (line 55)
number of datapoints not equal to number of targetpoints...
转播
