This procedure is to simulate the performance of SVM, through a defined area of ​ ​ discrete points as input samples, with the svm training, and then enter all the points in the region, to judge, this is a demonstration that the svm regression

svm_1\Debug\rotation.exe
.....\.....\rotation.ilk
.....\.....\rotation.pdb
.....\Debug
.....\ipch\rotation-8b65a02d\rotation-dc602cdc.ipch
.....\....\rotation-8b65a02d
.....\ipch
.....\rotation\Debug\CL.read.1.tlog
.....\........\.....\CL.write.1.tlog
.....\........\.....\link-cvtres.read.1.tlog
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.....\........\.....\link.5736-cvtres.read.1.tlog
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.....\........\.....\link.read.1.tlog
.....\........\.....\link.write.1.tlog
.....\........\.....\mt.read.1.tlog
.....\........\.....\mt.write.1.tlog
.....\........\.....\rc.read.1.tlog
.....\........\.....\rc.write.1.tlog
.....\........\.....\rotation.exe.embed.manifest
.....\........\.....\rotation.exe.embed.manifest.res
.....\........\.....\rotation.exe.intermediate.manifest
.....\........\.....\rotation.lastbuildstate
.....\........\.....\rotation.log
.....\........\.....\rotation.obj
.....\........\.....\rotation.pch
.....\........\.....\rotation_manifest.rc
.....\........\.....\stdafx.obj
.....\........\.....\vc100.idb
.....\........\.....\vc100.pdb
.....\........\Debug
.....\........\lena01.bmp
.....\........\ReadMe.txt
.....\........\rotation.cpp
.....\........\rotation.vcxproj
.....\........\rotation.vcxproj.filters
.....\........\rotation.vcxproj.user
.....\........\stdafx.cpp
.....\........\stdafx.h
.....\........\targetver.h
.....\rotation
.....\rotation.sdf
.....\rotation.sln
.....\rotation.suo
svm_1

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