Gauss kernel function SVM classification based on machine, using the geometric method of second-order training.

高斯核SVR\Project1.res
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.........\Project1.exe
.........\LinePartFunc.dcu
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.........\新建 文本文档.txt
.........\ArrayFunction.dcu
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.........\QuenCaulate.~pas
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.........\Project1.~dpr
.........\LinePartDraw.~pas
.........\LinePartDraw.pas
.........\LinePartFunc.~pas
.........\SVR失败\ArrayFunction.dcu
.........\.......\ArrayFunction.pas
.........\.......\BaseTypeList.dcu
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.........\.......\LinePartDraw.dcu
.........\.......\LinePartFunc.dcu
.........\.......\ListTemple.dcu
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.........\.......\Project1.~dpr
.........\.......\Project1.exe
.........\.......\Project1.res
.........\.......\QuenCaulate.dcu
.........\.......\QuenFunction.dcu
.........\.......\QuenFunction.pas
.........\.......\StringPurse.dcu
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.........\.......\Unit1.dcu
.........\.......\新建 文本文档.txt
.........\.......\Project2.exe
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.........\.......\LinePartFunc.~pas
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.........\.......\UnLineFunc.pas
.........\.......\Unit1.~pas
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.........\.......\Project1.dpr
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.........\UnLineFunc.pas
.........\UnLineFunc.dcu
.........\Project1.dpr
.........\Project1.dof
.........\Project1.cfg
.........\Unit1.~pas
.........\Unit1.~dfm
.........\Unit1.~ddp
.........\LinePartFunc.pas
.........\Unit1.pas
.........\Unit1.dfm
.........\Unit1.ddp
.........\SVR失败
高斯核SVR

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