E:\课程资料\向量机 E:\课程资料\向量机\LS_SVMlab\LS_SVMlab\trainlssv.m

E:\课程资料\向量机\LS_SVMlab \trainlssvm.rar-E: \ Course Information \ vector \ LS_SVMlab \ LS_SVMlab \ trainlssvm.rar

最小二乘支持向量机的训练代码，该代码最多能够训练类别数为8类的数据。-The training code of LSSVM. And it can train no more than eight class datas.

最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化-igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_

trainlssvm函数用于训练模型，主要有两种使用形式： [alpha, b] = trainlssvm({X,Y,type,gam,kernel_par,kernel,preprocess}) model = trainlssvm(model)或者model = trainlssvm(model, X, Y) X和Y分别是训练样本集的输入和输出数据。(The trainlssvm function is used for training models, and there are t