文件名称:成功libsvm-3.1-[FarutoUltimate3.1Mcode]

介绍说明--下载内容均来自于网络,请自行研究使用

matlab 工具箱svm,具体添加操作可以参照百度,很容易找到(SVMlab toolbox on the instructions for use method descr iption (English), and use this tool kit to achieve a time series forecasting papers you want to help.)
相关搜索: LibSVM

(系统自动生成,下载前可以参看下载内容)

下载文件列表

tools\checkdata.py

tools\easy.py

tools\grid.py

tools\README

tools\subset.py

windows\libsvm.dll

windows\libsvmread.mexw32

windows\libsvmread.mexw64

windows\libsvmwrite.mexw32

windows\libsvmwrite.mexw64

windows\svm-predict.exe

windows\svm-scale.exe

windows\svm-toy.exe

windows\svm-train.exe

windows\svmpredict.mexw32

windows\svmpredict.mexw64

windows\svmtrain.mexw32

windows\svmtrain.mexw64

svm.cpp.bak

svm-predict.c

svm-scale.c

svm-train.c

svm.h

svm.cpp

svm.def

FAQ.html

Makefile.win

COPYRIGHT

heart_scale

Makefile

README

java\libsvm\svm.java

java\libsvm\svm.m4

java\libsvm\svm_model.java

java\libsvm\svm_node.java

java\libsvm\svm_parameter.java

java\libsvm\svm_print_interface.java

java\libsvm\svm_problem.java

java\libsvm.jar

java\Makefile

java\svm_predict.java

java\svm_scale.java

java\svm_toy.java

java\svm_train.java

java\test_applet.html

matlab\heart_scale.mat

matlab\libsvmread.c

matlab\libsvmread.mexw32

matlab\libsvmwrite.c

matlab\libsvmwrite.mexw32

matlab\make.m

matlab\Makefile

matlab\README

matlab\svm.obj

matlab\svmpredict.c

matlab\svmpredict.mexw32

matlab\svmtrain.c

matlab\svmtrain.c.bak

matlab\svmtrain.mexw32

matlab\svm_model_matlab.c

matlab\svm_model_matlab.h

matlab\svm_model_matlab.obj

matlab-implement[by faruto]\a_template_flow_usingSVM_class.m

matlab-implement[by faruto]\a_template_flow_usingSVM_regress.m

matlab-implement[by faruto]\ClassResult.m

matlab-implement[by faruto]\ClassResult_test.m

matlab-implement[by faruto]\gaSVMcgForClass.m

matlab-implement[by faruto]\gaSVMcgForRegress.m

matlab-implement[by faruto]\gaSVMcgpForRegress.m

matlab-implement[by faruto]\libsvm参数说明.txt

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\bs2rv.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\contents.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtbase.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtbp.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtrp.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\migrate.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mpga.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mut.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mutate.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mutbga.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mytest\gaSVM.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\ranking.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recdis.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recint.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\reclin.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recmut.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recombin.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\reins.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\rep.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\resplot.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\rws.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\scaling.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\select.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\sus.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovdp.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovdprs.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovmp.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovsh.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovshrs.m

matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovsp.m

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