ruqinjiance-svm

代码说明：

  matlab源文件，对网络数据进行入侵检测，利用libsvm工具箱，对特征进行分类。内容包括：数据的归一化，参数择优（交叉验证），建立svm模型，性能评价。压缩包内有详细的说明文档。(matlab source files, network data for intrusion detection, to use libsvm toolbox, to classify the characteristics. The contents include: data normalization, parameters and selection of the best (cross-validation), the establishment of SVM model performance evaluation. Compressed within a detailed documentation.)

文件列表：

入侵检测 svm分类
................\安装说明.txt,409,2010-06-12
................\设计原文件
................\..........\data
................\..........\....\DosT4000ST.mat,34497,2010-03-24
................\..........\....\kddcup99.mdb,217382912,2011-10-25
................\..........\....\NormalT4000ST.mat,21467,2010-03-24
................\..........\....\ProbeT4000ST.mat,49939,2010-03-24
................\..........\....\R2LT4000ST.mat,15560,2010-03-24
................\..........\....\U2RT4000ST.mat,43709,2010-03-24
................\..........\LIBSVM 2.89
................\..........\...........\a_template_flow_usingSVM_class.m,1418,2009-11-04
................\..........\...........\htm" target=_blank>COPYRIGHT,1497,2009-02-17
................\..........\...........\heart_scale.mat,28904,2005-03-22
................\..........\...........\libsvm 参数说明.txt,2600,2009-08-18
................\..........\...........\libsvmread.c,3823,2009-04-15
................\..........\...........\libsvmread.mexw32,20480,2009-09-10
................\..........\...........\libsvmwrite.c,2123,2009-05-01
................\..........\...........\libsvmwrite.mexw32,20480,2009-09-10
................\..........\...........\make.m,229,2009-04-15
................\..........\...........\Makefile,1462,2009-04-15
................\..........\...........\htm" target=_blank>README,9181,2009-04-24
................\..........\...........\readme[by faruto].txt,1602,2009-11-05
................\..........\...........\svm.cpp,62422,2009-04-06
................\..........\...........\svm.h,2968,2009-04-07
................\..........\...........\svm.obj,65048,2009-09-10
................\..........\...........\svmpredict.c,9050,2009-04-15
................\..........\...........\svmpredict.mexw32,24576,2009-09-10
................\..........\...........\svmtrain.c,11377,2009-09-06
................\..........\...........\svmtrain.mexw32,45056,2009-09-10
................\..........\...........\svm_model_matlab.c,7684,2009-04-15
................\..........\...........\svm_model_matlab.h,201,2007-11-23
................\..........\...........\svm_model_matlab.obj,6294,2009-09-10
................\..........\...........\test_data
................\..........\...........\.........\image_seg.mat,146444,2009-11-04
................\..........\...........\.........\testFor_image_seg.m,1888,2009-10-30
................\..........\...........\.........\wine_test.mat,23120,2009-10-30
................\..........\...........\.........\x123.mat,2936,2009-10-30
................\..........\pcaForSVM.m,847,2009-11-04
................\..........\Run_svm.m,3096,2010-06-12
................\..........\scaleForSVM.m,462,2009-11-04
................\..........\SVMcgForClass.m,2165,2009-11-04
................\运行环境.txt,11,2010-06-12