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Downloads SourceCode Mathimatics-Numerical algorithms matlab
Title: out-matlab Download
 Description: svm regression, used to implement support vector machine (SVM ) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.
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FilenameSizeDate
43_1PointShift
..............\linear
..............\......\1.fig
..............\......\2.fig
..............\......\4.fig
..............\......\data_ns.mat
..............\......\data_s.mat
..............\RBF
..............\...\1.fig
..............\...\2.fig
..............\...\3.fig
..............\...\4.fig
..............\...\data_s.mat
43_1PointShift.mat
43_20PointShift.mat
98.mat
98.xls
98_1PointShift.mat
98_20PointShift.mat
b15.mat
b15.xls
b15_1PointShift.mat
b15_20PointShift.mat
b15_30PointShift.mat
bat.asv
bat.m
ca.mat
ca.xls
ca_1PointShift.mat
ca_20PointShift.mat
CorssV.asv
CrossValidation.asv
CrossValidation.m
data43.mat
Easy.asv
libsvmread.c
libsvmread.mexw32
libsvmwrite.c
libsvmwrite.mexw32
make.m
Makefile
README
scale.asv
ScaleStart.asv
ScaleStart.m
SplitAndScale.asv
svm.obj
svm_model_matlab.c
svm_model_matlab.h
svm_model_matlab.obj
SVMcg.asv
SVMcg.m
svmpredict.c
svmpredict.mexw32
svmtrain.asv
svmtrain.c
svmtrain.mexw32
TrainAndTest.asv
UnscaleStart.asv
UnscaleStart.m
不预测纯拟合,训练集43f(1-5000)测试集43f(5001-end).fig
不预测纯拟合,训练集43f(1-5000)测试集43f(5001-end).jpg
'第一组数据20点偏移,无归一化,线性核函数-c 4 -g 32.fig
43_20PointShift
...............\linear
...............\......\1.fig
...............\......\2.fig
...............\......\4.fig
...............\......\data_ns.mat
...............\......\data_s.mat
...............\RBF
...............\...\1.fig
...............\...\2.fig
...............\...\3.fig
...............\...\4.fig
...............\...\data_ns.mat
...............\...\data_s.mat
98_1PointShift
..............\RBF
..............\...\1.fig
..............\...\2.fig
..............\...\data_s.mat
..............\...\CrossValidation
..............\...\...............\1.fig
..............\...\...............\2.fig
..............\...\...............\3.fig
..............\...\...............\4.fig
..............\...\...............\最优参数下结果(没什么大区别).fig
..............\...\...............\源参数结果.fig
98_20PointShift
...............\RBF
...............\...\1.fig
...............\...\2.fig
...............\...\data_s.mat
...............\...\CrossValidation
...............\...\...............\1.fig
...............\...\...............\2.fig
...............\...\...............\3.fig
...............\...\...............\4.fig
...............\...\...............\最优参数下结果(没什么大区别).fig

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