登录
首页 » matlab » 4.SVM分类算法

4.SVM分类算法

于 2021-02-12 发布
0 168
下载积分: 1 下载次数: 2

代码说明:

说明:  svm算法 matlab基础教程,适合新手学习入门........(Matlab based tutorial, suitable for novice learning introductory...)

文件列表:

4.SVM分类算法\SVM分类算法\data.xlsx, 12612 , 2020-05-30
4.SVM分类算法\SVM分类算法\libsvm-3.1\COPYRIGHT, 1497 , 2011-03-26
4.SVM分类算法\SVM分类算法\libsvm-3.1\FAQ.html, 68901 , 2011-03-26
4.SVM分类算法\SVM分类算法\libsvm-3.1\heart_scale, 27670 , 2003-07-12
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm.java, 61931 , 2011-03-26
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm.m4, 61280 , 2010-11-05
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm_model.java, 734 , 2010-09-12
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm_node.java, 115 , 2003-10-11
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm_parameter.java, 1288 , 2006-03-03
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm_print_interface.java, 87 , 2009-02-18
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm\svm_problem.java, 136 , 2003-10-11
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\libsvm.jar, 49854 , 2011-03-26
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\Makefile, 624 , 2009-02-18
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\svm_predict.java, 4267 , 2009-03-18
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\svm_scale.java, 8944 , 2009-02-20
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\svm_toy.java, 11483 , 2010-12-13
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\svm_train.java, 8268 , 2010-01-27
4.SVM分类算法\SVM分类算法\libsvm-3.1\java\test_applet.html, 81 , 2003-07-12
4.SVM分类算法\SVM分类算法\libsvm-3.1\Makefile, 528 , 2010-09-12
4.SVM分类算法\SVM分类算法\libsvm-3.1\Makefile.win, 1087 , 2010-09-12
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\heart_scale.mat, 28904 , 2005-03-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\libsvmread.c, 3988 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\libsvmread.mexw32, 20480 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\libsvmwrite.c, 2123 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\libsvmwrite.mexw32, 20480 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\make.m, 396 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\Makefile, 1481 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\README, 9289 , 2011-03-16
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svm.obj, 65521 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svmpredict.c, 9063 , 2011-03-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svmpredict.mexw32, 24576 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svmtrain.c, 11355 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svmtrain.c.bak, 11343 , 2011-03-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svmtrain.mexw32, 45056 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svm_model_matlab.c, 7694 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svm_model_matlab.h, 201 , 2011-02-24
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab\svm_model_matlab.obj, 6287 , 2011-06-08
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\a_template_flow_usingSVM_class.m, 2025 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\a_template_flow_usingSVM_regress.m, 1842 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\ClassResult.m, 2047 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\ClassResult_test.m, 355 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\libsvm参数说明.txt, 2865 , 2011-06-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\bs2rv.m, 3217 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\contents.m, 1835 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\crtbase.m, 1168 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\crtbp.m, 2187 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\crtrp.m, 2091 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\migrate.m, 7205 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\mpga.m, 4019 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\mut.m, 1609 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\mutate.m, 3437 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\mutbga.m, 4943 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\mytest\gaSVM.m, 2792 , 2009-12-23
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\ranking.m, 4709 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\recdis.m, 1825 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\recint.m, 1895 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\reclin.m, 1953 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\recmut.m, 4852 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\recombin.m, 2438 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\reins.m, 5574 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\rep.m, 1208 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\resplot.m, 2080 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\rws.m, 1090 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\scaling.m, 1270 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\select.m, 2401 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\sus.m, 1319 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovdp.m, 1042 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovdprs.m, 1090 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovmp.m, 2795 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovsh.m, 1032 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovshrs.m, 1080 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovsp.m, 1043 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\gatbx[Sheffield]\xovsprs.m, 1090 , 1998-04-22
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\myprivate\plotroc2009b.m, 5374 , 2011-06-21
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\pcaForSVM.m, 778 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\plotSVMroc.m, 1241 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\plotSVMroc_test.m, 332 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\plotSVMroc_test2.m, 951 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\Readme[by faruto]CN.txt, 1602 , 2009-11-21
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\Readme[by faruto]EN.txt, 2706 , 2011-06-09
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\scaleForSVM.m, 509 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVC.m, 3651 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVC_test.m, 534 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVMcgForClass.m, 2140 , 2018-03-15
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVMcgForRegress.m, 2050 , 2018-03-15
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\svmplot.m, 1418 , 2018-03-15
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVR.m, 5494 , 2018-03-15
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\SVR_test.m, 978 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\#gaSVMcgForClass.m, 7782 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\#gaSVMcgForRegress.m, 7633 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\#gaSVMcgpForRegress.m, 8145 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\DCTforSVM.m, 406 , 2009-11-04
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\fasticaForSVM.m, 337 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\SVMcgpForRegress.m, 2451 , 2018-03-06
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\testFor_DCT.m, 1362 , 2009-11-04
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\testingFuntion_beta\test_for_ica_SVM.m, 1126 , 2010-01-17
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\test_data\adult.mat, 132501 , 2009-11-15
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\test_data\book.mat, 33319 , 2009-11-17
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\test_data\data1.mat, 9736 , 2009-12-18
4.SVM分类算法\SVM分类算法\libsvm-3.1\matlab-implement\test_data\image_seg.mat, 146444 , 2009-11-04

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • Robust_and_Optimal_Control
    matlab分析控制系统,对线形及非线性系统的鲁棒控制给出了深入研究。(The matlab Analysis control system, gives an in-depth study on the robust control of linear and nonlinear systems.)
    2013-04-11 22:30:01下载
    积分:1
  • poisson_image_editing
    For artifical object insertion.It does this in seamless manner.
    2010-10-30 00:39:17下载
    积分:1
  • picedit
    说明:  (1) 條碼掃描槍 (1個): 用於刷證件Barcode(條碼) (2) 鐳射列印機 (1台): 用於列印證件(型號: Epson stylus C67) (3) 攝像頭 (1個): 用於攝制來賓照片 ((1) bar code scanner (1): for Brush documents Barcode (Barcode) (2) laser printer (1 unit): used to print documents (Model: Epson stylus C67) (3) camera ( 1): for shooting photos guests)
    2010-04-29 12:32:50下载
    积分:1
  • doa_music
    DOA估计的传统经典之作,利用噪声子空间和信号子空间正交性,得到高分辨的拨打估计。(DOA estimation of the traditional classic, using the noise subspace and signal subspace orthogonality, get high resolution to estimate.)
    2012-11-11 20:42:35下载
    积分:1
  • Similarity
    fingerprint extraction
    2013-12-12 03:59:24下载
    积分:1
  • AmplitudeFrequencyDiagram_Program
    杜芬系统跳跃现象 小参数 时间步长 以点或线画图可调(Duffing jumping phenomenon, the small parameter can be modulated and the time step can be set by yourself )
    2013-12-08 19:04:15下载
    积分:1
  • Untitled6
    基于matlab的zoeppritz反演程序,可用于AVO反演( This function computes the particle displacement reflection and transmission coefficients (the relative displacement amplitudes) for a solid-solid interface, a liquid-solid interface, a solid-liquid interface, and a liquid-liquid interface.)
    2014-01-15 11:10:23下载
    积分:1
  • ofdmrayleigh
    OFDM系统,瑞利信道,很有用; OFDM系统,瑞利信道,很有用;(OFDM systems, Rayleigh Road, very useful OFDM systems, Rayleigh Road, very useful )
    2010-06-30 15:11:37下载
    积分:1
  • exp_pid
    专家pid控制的阶跃响应,能够很好的跟踪输入信号。具有良好的性能指标。(step response of Expert pid control , and can be very good to track the input signal.With good performance。)
    2015-04-22 16:23:53下载
    积分:1
  • f11
    小波变换在信号处理中的应用,应用db5小波对例子信号进行7层分解(Wavelet transform in signal processing applications, application db5 example wavelet decomposition of signal layer 7)
    2010-12-20 18:38:29下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载