文件名称:support_vetor_machine
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [MacOS] [Matlab] [源码]
- 上传时间：
- 2015-05-30
- 文件大小：
- 649kb
- 下载次数：
- 0次
- 提 供 者：
- li***
- 相关连接：
- 无
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- 别用迅雷下载，失败请重下，重下不扣分！
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实现支持向量机的具体算法，包含一些支持向量机（svm）的程序例子，有分类也有回归的，分类有二维分类、还有多维分类的-Program example to achieve the specific algorithm support vector machines, including some of the support vector machine (svm), there is also the return of classification, classification of two-dimensional classification, as well as multi-dimensional classification
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下载文件列表
support_vetor_machine
.....................\libsvm-3.18
.....................\...........\COPYRIGHT
.....................\...........\FAQ.html
.....................\...........\Makefile
.....................\...........\Makefile.win
.....................\...........\README
.....................\...........\heart_scale
.....................\...........\java
.....................\...........\....\Makefile
.....................\...........\....\libsvm
.....................\...........\....\......\svm.java
.....................\...........\....\......\svm.m4
.....................\...........\....\......\svm_model.java
.....................\...........\....\......\svm_node.java
.....................\...........\....\......\svm_parameter.java
.....................\...........\....\......\svm_print_interface.java
.....................\...........\....\......\svm_problem.java
.....................\...........\....\libsvm.jar
.....................\...........\....\svm_predict.java
.....................\...........\....\svm_scale.java
.....................\...........\....\svm_toy.java
.....................\...........\....\svm_train.java
.....................\...........\....\test_applet.html
.....................\...........\matlab
.....................\...........\......\Makefile
.....................\...........\......\README
.....................\...........\......\libsvmread.c
.....................\...........\......\libsvmwrite.c
.....................\...........\......\make.m
.....................\...........\......\svm_model_matlab.c
.....................\...........\......\svm_model_matlab.h
.....................\...........\......\svmpredict.c
.....................\...........\......\svmtrain.c
.....................\...........\python
.....................\...........\......\Makefile
.....................\...........\......\README
.....................\...........\......\svm.py
.....................\...........\......\svmutil.py
.....................\...........\svm-predict.c
.....................\...........\svm-scale.c
.....................\...........\svm-toy
.....................\...........\.......\gtk
.....................\...........\.......\...\Makefile
.....................\...........\.......\...\callbacks.cpp
.....................\...........\.......\...\callbacks.h
.....................\...........\.......\...\interface.c
.....................\...........\.......\...\interface.h
.....................\...........\.......\...\main.c
.....................\...........\.......\...\svm-toy.glade
.....................\...........\.......\qt
.....................\...........\.......\..\Makefile
.....................\...........\.......\..\svm-toy.cpp
.....................\...........\.......\windows
.....................\...........\.......\.......\svm-toy.cpp
.....................\...........\svm-train.c
.....................\...........\svm.cpp
.....................\...........\svm.def
.....................\...........\svm.h
.....................\...........\tools
.....................\...........\.....\README
.....................\...........\.....\checkdata.py
.....................\...........\.....\easy.py
.....................\...........\.....\grid.py
.....................\...........\.....\subset.py
.....................\...........\windows
.....................\...........\.......\libsvm.dll
.....................\...........\.......\libsvmread.mexw64
.....................\...........\.......\libsvmwrite.mexw64
.....................\...........\.......\svm-predict.exe
.....................\...........\.......\svm-scale.exe
.....................\...........\.......\svm-toy.exe
.....................\...........\.......\svm-train.exe
.....................\...........\.......\svmpredict.mexw64
.....................\...........\.......\svmtrain.mexw64
.....................\predict_RBFNN_long.m
.....................\predict_SVM_long.m
.....................\predict_long.m
.....................\psoSVMcgForClass.m
.....................\psoSVMcgForRegress.m
.....................\放射状配网测试.xls
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