資源簡介
貝葉斯優化最小二乘向量機,很好的優化方法,也比較少見

代碼片段和文件信息
type?=?‘function?approximation‘;
X=[1?2?5;?6?7?8?;11?23?45?;14?2?3?]‘
Y=[4?18?10]‘
%Y=X*2-6
%X?=?normrnd(021001);
%Y?=?sinc(X)?+normrnd(0.1size(X1)1;
kernel?=?‘RBF_kernel‘
preprocess=‘original‘
[gam?sig2]?=?bay_initlssvm({XYtype[][]})
[modelgam]=?bay_optimize({XYtypegamsig2kernelpreprocess}?2)
[model?sig2]?=?bay_optimize({XYtypegamsig2kernelpreprocess}?3)
[model?alph?b]?=?bay_optimize({XYtypegamsig2kernelpreprocess}1)
%[alphab]?=?trainlssvm({XYtypegamsig2‘RBF_kernel‘})
%Xt=[1?;45?;18?;30?]‘
%Yt?=?simlssvm({XYtypegamsig2kernel}?{alphab}?Xt)
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????509??2010-10-04?22:10??bayes\Bayesguji.rar
?????文件????????620??2010-10-17?21:51??bayes\example_bys.m
?????文件????????515??2010-10-04?17:19??bayes\LS_SVM_BYS_Example.m
?????文件????????467??2010-10-19?10:32??bayes\LS_SVM_BYS_Example.rar
?????目錄??????????0??2010-10-19?10:35??bayes
-----------?---------??----------?-----??----
?????????????????2111????????????????????5
- 上一篇:Igarch模型
- 下一篇:信息隱藏 二值圖像的隱藏 MD5
評論
共有 條評論