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文件名称:out-matlab SVM回归,用于实现支持向量机

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    2012-08-31
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SVM回归,用于实现支持向量机(SVM

)回归拟合的问题。可以用来做一些短期的预测,如短期负荷预测。-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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下载文件列表

文件名大小更新时间
43_1PointShift/
43_1PointShift/linear/
43_1PointShift/linear/1.fig
43_1PointShift/linear/2.fig
43_1PointShift/linear/4.fig
43_1PointShift/linear/data_ns.mat
43_1PointShift/linear/data_s.mat
43_1PointShift/RBF/
43_1PointShift/RBF/1.fig
43_1PointShift/RBF/2.fig
43_1PointShift/RBF/3.fig
43_1PointShift/RBF/4.fig
43_1PointShift/RBF/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/
43_20PointShift/linear/
43_20PointShift/linear/1.fig
43_20PointShift/linear/2.fig
43_20PointShift/linear/4.fig
43_20PointShift/linear/data_ns.mat
43_20PointShift/linear/data_s.mat
43_20PointShift/RBF/
43_20PointShift/RBF/1.fig
43_20PointShift/RBF/2.fig
43_20PointShift/RBF/3.fig
43_20PointShift/RBF/4.fig
43_20PointShift/RBF/data_ns.mat
43_20PointShift/RBF/data_s.mat
98_1PointShift/
98_1PointShift/RBF/
98_1PointShift/RBF/1.fig
98_1PointShift/RBF/2.fig
98_1PointShift/RBF/data_s.mat
98_1PointShift/RBF/CrossValidation/
98_1PointShift/RBF/CrossValidation/1.fig
98_1PointShift/RBF/CrossValidation/2.fig
98_1PointShift/RBF/CrossValidation/3.fig
98_1PointShift/RBF/CrossValidation/4.fig
98_1PointShift/RBF/CrossValidation/最优参数下结果(没什么大区别).fig
98_1PointShift/RBF/CrossValidation/源参数结果.fig
98_20PointShift/
98_20PointShift/RBF/
98_20PointShift/RBF/1.fig
98_20PointShift/RBF/2.fig
98_20PointShift/RBF/data_s.mat
98_20PointShift/RBF/CrossValidation/
98_20PointShift/RBF/CrossValidation/1.fig
98_20PointShift/RBF/CrossValidation/2.fig
98_20PointShift/RBF/CrossValidation/3.fig
98_20PointShift/RBF/CrossValidation/4.fig
98_20PointShift/RBF/CrossValidation/最优参数下结果(没什么大区别).fig
98_20PointShift/RBF/CrossValidation/源参数结果.fig
98_20PointShift/RBF/3.fig
98_20PointShift/RBF/4.fig
98_20PointShift/RBF/data_ns.mat
98_20PointShift/linear/
98_20PointShift/linear/1.fig
98_20PointShift/linear/2.fig
98_20PointShift/linear/data_s.mat
ScaleStartNoTime.m
ScaStartNoTime.asv
ScaStartNoTime.m
UnscaleStartNoTime.m
纯拟合归一化y.fig
纯拟合不归一化y.fig
纯拟合的预测不归一化y.fig
43_1PointShift/RBF/3 4 .fig c较小.zip
43_1PointShift/RBF/-c 32 -g 9.7656e-04.fig
43_1PointShift/RBF/data_ns.mat
98_20PointShift/linear/3.fig
98_20PointShift/linear/4.fig
98_20PointShift/linear/data_ns.mat
b15_1PointShift/linear/1.fig
b15_1PointShift/linear/2.fig
b15_1PointShift/linear/3.fig
b15_1PointShift/linear/4.fig
b15_1PointShift/linear/data_ns.mat
b15_1PointShift/linear/data_s.mat
b15_1PointShift/notice.txt
b15_1PointShift/RBF/1.fig
b15_1PointShift/RBF/2.fig
b15_1PointShift/RBF/3.fig
b15_1PointShift/RBF/4.fig
b15_1PointShift/RBF/data_ns.mat
b15_1PointShift/RBF/data_s.mat
b15_20PointShift/ALL.fig
b15_20PointShift/linear/1.fig
b15_20PointShift/linear/2.fig
b15_20PointShift/linear/3.fig
b15_20PointShift/linear/4.fig
b15_20PointShift/linear/data_ns.mat
b15_20PointShift/linear/data_s.mat
b15_20PointShift/notice.txt
b15_20PointShift/RBF/1.fig
b15_20PointShift/RBF/2.fig
b15_20PointShift/RBF/3.fig
b15_20PointShift/RBF/4.fig
b15_20PointShift/RBF/data_ns.mat
b15_20PointShift/RBF/data_s.mat
ca_1PointShift/all.fig
ca_1PointShift/linear/1.fig
ca_1PointShift/linear/2.fig
ca_1PointShift/linear/3.fig
ca_1PointShift/linear/4.fig
ca_1PointShift/linear/data_ns.mat
ca_1PointShift/linear/data_s.mat
ca_1PointShift/RBF/1.fig
ca_1PointShift/RBF/2.fig
ca_1PointShift/RBF/4.fig
ca_1PointShift/RBF/data_ns.mat
ca_1PointShift/RBF/data_s.mat
ca_20PointShift/all.fig
ca_20PointShift/linear/1.fig
ca_20PointShift/linear/2.fig
ca_20PointShift/linear/3.fig
ca_20PointShift/linear/4.fig
ca_20PointShift/linear/data_ns.mat
ca_20PointShift/RBF/1.fig
ca_20PointShift/RBF/2.fig
ca_20PointShift/RBF/3.fig
ca_20PointShift/RBF/4.fig
ca_20PointShift/RBF/data_ns.mat
ca_20PointShift/RBF/data_s.mat
43_1PointShift/new/1.fig
43_1PointShift/new/2.fig
43_20PointShift/new/1.fig
43_20PointShift/new/2.fig
43_20PointShift/new/data.mat
ScalePartStartNoTime.m
43_1PointShift/part new/1.fig
43_1PointShift/part new/2.fig
43_1PointShift/part new/data.mat
1.fig
2.fig
43_1PointShift/part new/c0.25.fig
43_1PointShift/part new/c1.fig
43_1PointShift/part new/c2.fig
save_all.asv
save_all.m
ScalePartStartNoTime.asv
test.fig
test2.fig

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