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Description: E:\课程资料\向量机 E:\课程资料\向量机\LS_SVMlab\LS_SVMlab\trainlssv.m
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Size: 3353 |
Author: gaobin2010 |
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Description: E:\课程资料\向量机\LS_SVMlab \trainlssvm.rar-E: \ Course Information \ vector \ LS_SVMlab \ LS_SVMlab \ trainlssvm.rar
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Size: 3072 |
Author: gaobin |
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Description: 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.
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Size: 1024 |
Author: 陈云强 |
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Description: 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_kernel
model=initlssvm(X,Y,type,gam,sig2,kernel)
model
model=trainlssvm(model)
Yt=simlssvm(model,Xt)
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Size: 1009664 |
Author: 翁盗海 |
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Description: 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 two main forms of use:
[alpha, b] = trainlssvm ({X, Y, type, GAM, kernel_par, kernel, preprocess})
Model = trainlssvm (model) or model = trainlssvm (model, X, Y)
X and Y are the input and output data of the training sample set, respectively.)
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Size: 8192 |
Author: PeterTT |
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