資源簡介
本資源包含支持向量機的數學原理,多個代碼例程文件,親測matlab2018b通過,建議直接修改輸入神經元個數和輸入向量,另外,其算法接口與BP神經網絡幾乎完全一致,上手比較快

代碼片段和文件信息
%%?I.?清空環境變量
%%?II.?導入數據
%%
%?1.?隨機產生訓練集和測試集
n?=?randperm(size(matrix1));
%%
%?2.?訓練集——80個樣本
train_matrix?=?matrix(n(1:80):);
train_label?=?label(n(1:80):);
%%
%?3.?測試集——26個樣本
test_matrix?=?matrix(n(81:end):);
test_label?=?label(n(81:end):);
%%?III.?數據歸一化
[Train_matrixPS]?=?mapminmax(train_matrix‘);
Train_matrix?=?Train_matrix‘;
Test_matrix?=?mapminmax(‘apply‘test_matrix‘PS);
Test_matrix?=?Test_matrix‘;
%%?IV.?SVM創建/訓練(RBF核函數)
%%
%?1.?尋找最佳c/g參數——交叉驗證方法
[cg]?=?meshgrid(-10:0.2:10-10:0.2:10);
[mn]?=?size(c);
cg?=?zeros(mn);
eps?=?10^(-4);
v?=?5;
bestc?=?1;
bestg?=?0.1;
bestacc?=?0;
for?i?=?1:m
????for?j?=?1:n
????????cmd?=?[‘-v?‘num2str(v)‘?-t?2‘‘?-c?‘num2str(2^c(ij))‘?-g?‘num2str(2^g(ij))];
????????cg(ij)?=?svmtrain(train_labelTrain_matrixcmd);?????
????????if?cg(ij)?>?bestacc
????????????bestacc?=?cg(ij);
????????????bestc?=?2^c(ij);
????????????bestg?=?2^g(ij);
????????end????????
????????if?abs(?cg(ij)-bestacc?)<=eps?&&?bestc?>?2^c(ij)?
????????????bestacc?=?cg(ij);
????????????bestc?=?2^c(ij);
????????????bestg?=?2^g(ij);
????????end???????????????
????end
end
cmd?=?[‘?-t?2‘‘?-c?‘num2str(bestc)‘?-g?‘num2str(bestg)];
%%
%?2.?創建/訓練SVM模型
model?=?svmtrain(train_labelTrain_matrixcmd);
%%?V.?SVM仿真測試
[predict_label_1accuracy_1]?=?svmpredict(train_labelTrain_matrixmodel);
[predict_label_2accuracy_2]?=?svmpredict(test_labelTest_matrixmodel);
result_1?=?[train_label?predict_label_1];
result_2?=?[test_label?predict_label_2];
%%?VI.?繪圖
figure
plot(1:length(test_label)test_label‘r-*‘)
hold?on
plot(1:length(test_label)predict_label_2‘b:o‘)
grid?on
legend(‘真實類別‘‘預測類別‘)
xlabel(‘測試集樣本編號‘)
ylabel(‘測試集樣本類別‘)
string?=?{‘測試集SVM預測結果對比(RBF核函數)‘;
??????????[‘accuracy?=?‘?num2str(accuracy_2(1))?‘%‘]};
title(string)
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-08-30?12:47??06?支持向量機(Support?Vector?Machine?SVM)\
?????文件??????553665??2016-10-08?01:17??06?支持向量機(Support?Vector?Machine?SVM)\Class_6.pdf
?????目錄???????????0??2018-07-04?00:20??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\
?????目錄???????????0??2018-08-30?12:42??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\
?????文件????????6802??2010-11-03?21:23??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\BreastTissue_data.mat
?????目錄???????????0??2018-08-30?12:41??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\html\
?????文件???????10246??2015-09-13?22:13??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\html\main.html
?????文件????????5730??2015-09-13?22:13??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\html\main.png
?????文件???????13144??2015-09-13?22:12??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\html\main_01.png
?????文件????????2010??2016-12-24?09:44??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\main.asv
?????文件????????1965??2016-12-24?09:47??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\Classification\main.m
?????目錄???????????0??2018-08-30?12:47??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\
?????文件????????3437??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\AFEm.m
?????文件?????????603??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\MLP_kernel.m
?????文件????????1105??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\RBF_kernel.m
?????文件????????5785??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_errorbar.m
?????文件????????1998??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_initlssvm.m
?????文件???????10339??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_lssvm.m
?????文件????????8187??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_lssvmARD.m
?????文件????????9358??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_modoutClass.m
?????文件????????5843??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_optimize.m
?????文件????????4312??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bay_rr.m
?????文件????????1479??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\bitreverse32.m
?????文件????????5576??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\changelssvm.m
?????文件????????4744??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\cilssvm.m
?????文件????????4245??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\code.m
?????文件????????5194??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\code_ECOC.m
?????文件?????????548??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\code_MOC.m
?????文件?????????361??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\code_OneVsAll.m
?????文件?????????576??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\code_OneVsOne.m
?????文件????????2107??2014-07-09?13:36??06?支持向量機(Support?Vector?Machine?SVM)\Class_6_Code\LSSVM-1.6\codedist_bay.m
............此處省略338個文件信息
- 上一篇:northwind.mdb
- 下一篇:自適應濾波器設計及Matlab實現
評論
共有 條評論