登录
首页 » matlab » libsvm-mat-2.89-3[FarutoUltimate3.0]

libsvm-mat-2.89-3[FarutoUltimate3.0]

于 2020-07-07 发布
0 203
下载积分: 1 下载次数: 2
我要下载

代码说明：

说明：  可以使用SVM、LSSVM算法对样本集进行模式识别和去噪等操作(SVM and LSSVM algorithms can be used for pattern recognition and denoising)

文件列表：

libsvm-mat-2.89-3[FarutoUltimate3.0]\COPYRIGHT, 1497 , 2009-02-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\heart_scale.mat, 28904 , 2005-03-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\a_template_flow_usingSVM_class.m, 2835 , 2010-01-24
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\a_template_flow_usingSVM_regress.m, 2159 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\fasticaForSVM.m, 871 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgForClass.m, 3778 , 2010-01-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgForRegress.m, 3510 , 2010-01-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\gaSVMcgpForRegress.m, 3788 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\bs2rv.m, 3217 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\contents.m, 1835 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtbase.m, 1168 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtbp.m, 2187 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\crtrp.m, 2091 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\migrate.m, 7205 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mpga.m, 4019 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mut.m, 1609 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mutate.m, 3437 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\mutbga.m, 4943 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\ranking.m, 4709 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recdis.m, 1825 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recint.m, 1895 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\reclin.m, 1953 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recmut.m, 4852 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\recombin.m, 2438 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\reins.m, 5574 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\rep.m, 1208 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\resplot.m, 2080 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\rws.m, 1090 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\scaling.m, 1270 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\select.m, 2401 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\sus.m, 1319 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovdp.m, 1042 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovdprs.m, 1090 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovmp.m, 2795 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsh.m, 1032 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovshrs.m, 1080 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsp.m, 1043 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield]\xovsprs.m, 1090 , 1998-04-22
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\mapminmax.m, 5546 , 2014-01-13
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\plotroc.m, 5369 , 2008-04-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\roc.m, 4132 , 2008-04-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\pcaForSVM.m, 1316 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\psoSVMcgForClass.m, 5717 , 2010-01-24
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\psoSVMcgForRegress.m, 5397 , 2010-01-24
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\readme[by faruto].txt, 1602 , 2009-11-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\scaleForSVM.m, 1045 , 2010-01-18
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVC.m, 4189 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVC_test.m, 993 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVMcgForClass.m, 2695 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVMcgForRegress.m, 2608 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\svmplot.m, 1963 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVR.m, 5869 , 2010-01-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\SVR_test.m, 1184 , 2010-01-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\test_for_ica_SVM.m, 1126 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\TutorialForFarutoUltimate3.0.pdf, 222041 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\TutorialTest.m, 3598 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\VF.m, 3960 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\libsvm 参数说明.txt, 2600 , 2009-08-18
libsvm-mat-2.89-3[FarutoUltimate3.0]\libsvmread.c, 3823 , 2009-04-15
libsvm-mat-2.89-3[FarutoUltimate3.0]\libsvmread.mexw32, 20480 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\libsvmwrite.c, 2123 , 2009-05-01
libsvm-mat-2.89-3[FarutoUltimate3.0]\libsvmwrite.mexw32, 20480 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\LibSVM程序代码注释.pdf, 260908 , 2010-08-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\make.m, 229 , 2009-04-15
libsvm-mat-2.89-3[FarutoUltimate3.0]\Makefile, 1462 , 2009-04-15
libsvm-mat-2.89-3[FarutoUltimate3.0]\README, 9181 , 2009-04-24
libsvm-mat-2.89-3[FarutoUltimate3.0]\readme[by faruto].txt, 1602 , 2009-11-21
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm.cpp, 62422 , 2009-04-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm.h, 2968 , 2009-04-07
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm.obj, 65048 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\svmpredict.c, 9050 , 2009-04-15
libsvm-mat-2.89-3[FarutoUltimate3.0]\svmpredict.mexw32, 24576 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\svmtrain.c, 11377 , 2009-09-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\svmtrain.mexw32, 45056 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm_model_matlab.c, 7684 , 2009-04-15
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm_model_matlab.h, 201 , 2007-11-23
libsvm-mat-2.89-3[FarutoUltimate3.0]\svm_model_matlab.obj, 6294 , 2010-01-16
libsvm-mat-2.89-3[FarutoUltimate3.0]\test_data\wine_test.mat, 23120 , 2009-10-30
libsvm-mat-2.89-3[FarutoUltimate3.0]\test_data\x123.mat, 2936 , 2009-10-30
libsvm-mat-2.89-3[FarutoUltimate3.0]\TutorialForFarutoUltimate3.0.pdf, 222041 , 2010-01-17
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate\gatbx[Sheffield], 0 , 2020-07-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\myprivate, 0 , 2020-07-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto]\pcode, 0 , 2017-03-28
libsvm-mat-2.89-3[FarutoUltimate3.0]\implement[by faruto], 0 , 2020-07-06
libsvm-mat-2.89-3[FarutoUltimate3.0]\test_data, 0 , 2020-07-06
libsvm-mat-2.89-3[FarutoUltimate3.0], 0 , 2020-07-06

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

  • Jakes_filter
    挺好的jakes滤波器源码。。。大家多给意见(Very good source of Jakes filter. . . U.S. to give their views)
    2007-09-13 20:02:48下载
    积分：1
  • shiyan
    数字控制系统是一种以数字计算机为控制器去控制具有连续工作状态的被控对象的闭环控制系统。因此，数字控制系统包括工作于离散状态下的数字计算机和工作于连续状态下的被控对象两大部分。我的课题的数字部分（PID）仿真由相应的离散传函实现，运用数字PID对被控对象实行准确控制。通过调节比例（P）、积分（I）、微分（D），使对象的输出达到预期的效果。(Digital control system is a kind of digital computer for the controller to control a continuous state of the object and closed loop control system. Therefore, the digital control system, including work on the discrete state of the digital computer and work in a continuous state of the plant is two parts. My topic of digital section (PID) simulation by the realization of the corresponding discrete transfer function using the digital PID control of the plant is implemented accurately. By adjusting the ratio of (P), integral (I), differential (D), so that the output of the object to achieve the desired results.)
    2010-08-31 21:21:50下载
    积分：1
  • ml_stc_windows_vc_2008_v1.0
    C++ AND MATLAB CODE FOR STEGANOGRAPHY, developed by a third party, Please check it by yourself while you use it
    2011-04-27 23:48:34下载
    积分：1
  • palui_cPP2
    interesting and easy C++ application for beginers
    2014-11-27 04:24:17下载
    积分：1
  • my_fft_fixed_point
    N-Point FFT using fixed-point toolbox of MATLAB
    2013-05-04 11:24:11下载
    积分：1
  • FFT
    基于matlab的语音回波抵消系统仿真设计中FFT转换部分程序(Voice echo cancellation system based on matlab simulation in the design of FFT transform part of the program )
    2013-05-05 12:39:10下载
    积分：1
  • chap_10
    很好的matlab学习资料，由浅到深的解析，附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)
    2011-05-02 13:11:32下载
    积分：1
  • example03_01
    在matlab中调用smooth函数进行加噪数据的平滑处理的方法代码(The M code tells how to call a function to smooth the data which be merged into the noise in Matlab )
    2010-09-25 22:44:25下载
    积分：1
  • wavelet_speechenhancing
    说明小波消噪的理论，阈值估算和提取，给出在MATLAB下阈值估算和消噪的函数，并在语音信号处理中增强语音。(Explain the theory of wavelet denoising, threshold estimation and extraction, are given in the MATLAB under the threshold estimation and de-noising function, and speech signal processing to enhance voice.)
    2008-08-12 08:21:08下载
    积分：1
  • BPSKHard
    BPSK modulation with Hard decision type of coding.
    2014-11-08 09:53:14下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！