文件名称:mySVM
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Windows] [Visual C] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 937kb
- 下载次数:
- 0次
- 提 供 者:
- 张**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出,可右键点击选“另存为”。
失败请重下,重下不扣分。
如迅雷强制弹出,可右键点击选“另存为”。
失败请重下,重下不扣分。
介绍说明--下载内容均来自于网络,请自行研究使用
支持向量机学习源码程序支持向 量机学习源码程序支持向 量机学习源码程序-Support vector machine learning support vector machine learning source program source program source program support vector machine learning support vector machine learning support vector machine learning source program source program相关搜索: mySVM
(系统自动生成,下载前可以参看下载内容)
下载文件列表
mySVM\example_set.cpp
.....\example_set.h
.....\globals.cpp
.....\globals.h
.....\kernel.cpp
.....\kernel.h
.....\learn.cpp
.....\learn.dsp
.....\learn.dsw
.....\learn.ncb
.....\learn.opt
.....\learn.plg
.....\mysvm-manual.pdf
.....\mySVM.dsp
.....\mySVM.dsw
.....\mySVM.ncb
.....\mySVM.opt
.....\mySVM.plg
.....\output.txt
.....\parameters.cpp
.....\parameters.h
.....\predict.cpp
.....\predict.dsp
.....\predict.dsw
.....\predict.ncb
.....\predict.opt
.....\predict.plg
.....\Readme.txt
.....\smo.cpp
.....\smo.h
.....\StdAfx.cpp
.....\StdAfx.h
.....\svm_c.cpp
.....\svm_c.h
.....\svm_nu.cpp
.....\svm_nu.h
.....\test.txt
.....\test.txt.svm
.....\train-svm.txt
.....\train.txt
.....\validation-pred.txt
.....\validation.txt
.....\validation.txt.svm
.....\version.h
.....\Debug\example_set.obj
.....\.....\globals.obj
.....\.....\kernel.obj
.....\.....\learn.exe
.....\.....\learn.ilk
.....\.....\learn.obj
.....\.....\learn.pch
.....\.....\learn.pdb
.....\.....\parameters.obj
.....\.....\predict.obj
.....\.....\smo.obj
.....\.....\svm_c.obj
.....\.....\svm_nu.obj
.....\.....\vc60.idb
.....\.....\vc60.pdb
.....\examples\myparam.txt
.....\........\param.dat
.....\........\svmtrain.74.dat
.....\........\svmtrain.dat
.....\........\trainreg.100.dat
.....\........\trainreg.100.dat.pred
.....\........\trainreg.100.dat.svm
.....\........\trainreg.100.log
.....\........\trainreg.101.dat
.....\........\trainreg.74.dat
.....\........\trainreg.dat
.....\........\trainset.100.dat
.....\Release\predict.obj
.....\.......\predict.pch
.....\.......\vc60.idb
.....\Debug
.....\examples
.....\Release
mySVM
.....\example_set.h
.....\globals.cpp
.....\globals.h
.....\kernel.cpp
.....\kernel.h
.....\learn.cpp
.....\learn.dsp
.....\learn.dsw
.....\learn.ncb
.....\learn.opt
.....\learn.plg
.....\mysvm-manual.pdf
.....\mySVM.dsp
.....\mySVM.dsw
.....\mySVM.ncb
.....\mySVM.opt
.....\mySVM.plg
.....\output.txt
.....\parameters.cpp
.....\parameters.h
.....\predict.cpp
.....\predict.dsp
.....\predict.dsw
.....\predict.ncb
.....\predict.opt
.....\predict.plg
.....\Readme.txt
.....\smo.cpp
.....\smo.h
.....\StdAfx.cpp
.....\StdAfx.h
.....\svm_c.cpp
.....\svm_c.h
.....\svm_nu.cpp
.....\svm_nu.h
.....\test.txt
.....\test.txt.svm
.....\train-svm.txt
.....\train.txt
.....\validation-pred.txt
.....\validation.txt
.....\validation.txt.svm
.....\version.h
.....\Debug\example_set.obj
.....\.....\globals.obj
.....\.....\kernel.obj
.....\.....\learn.exe
.....\.....\learn.ilk
.....\.....\learn.obj
.....\.....\learn.pch
.....\.....\learn.pdb
.....\.....\parameters.obj
.....\.....\predict.obj
.....\.....\smo.obj
.....\.....\svm_c.obj
.....\.....\svm_nu.obj
.....\.....\vc60.idb
.....\.....\vc60.pdb
.....\examples\myparam.txt
.....\........\param.dat
.....\........\svmtrain.74.dat
.....\........\svmtrain.dat
.....\........\trainreg.100.dat
.....\........\trainreg.100.dat.pred
.....\........\trainreg.100.dat.svm
.....\........\trainreg.100.log
.....\........\trainreg.101.dat
.....\........\trainreg.74.dat
.....\........\trainreg.dat
.....\........\trainset.100.dat
.....\Release\predict.obj
.....\.......\predict.pch
.....\.......\vc60.idb
.....\Debug
.....\examples
.....\Release
mySVM