登录
首页 » matlab » epic_svm_matlab

epic_svm_matlab

于 2021-04-11 发布 文件大小:123KB
0 97
下载积分: 1 下载次数: 2

代码说明:

说明:  一个SVM分类的例子.构造输入数据,进行SVM,画图显示分类结果(an example for SVM。classify created input and show the result.)

文件列表:

epic_svm_matlab
...............\binomial.m,371,1997-09-19
...............\centrefig.m,144,1998-05-01
...............\cmap.mat,1728,1997-08-13
...............\Contents.m,1105,1998-08-07
...............\Examples
...............\........\Classification
...............\........\..............\iris1v23.mat,2696,1997-09-28
...............\........\..............\iris2v13.mat,2696,1997-09-28
...............\........\..............\iris3v12.mat,2696,1997-09-28
...............\........\..............\linsep.mat,672,1997-11-06
...............\........\..............\nlinsep.mat,712,1997-11-06
...............\........\Regression
...............\........\..........\example.mat,744,1997-11-07
...............\........\..........\sinc.mat,1056,1997-08-20
...............\........\..........\titanium.mat,1096,1997-09-27
...............\newsvm.zip,76534,2001-10-26
...............\nobias.m,457,1998-08-06
...............\Optimiser
...............\.........\Makefile,27,2001-10-11
...............\.........\pr_loqo.c,16731,2001-10-11
...............\.........\pr_loqo.h,2388,2001-10-11
...............\.........\qp.c,7245,2001-10-11
...............\.........\qp.dll,49152,2001-10-26
...............\qp.dll,49152,2001-10-26
...............\htm" target=_blank>README,2642,2001-10-12
...............\softmargin.m,312,1998-04-21
...............\svc.m,2687,1998-08-21
...............\svcerror.m,837,1998-08-21
...............\svcinfo.m,1228,1998-03-10
...............\svcoutput.m,973,1998-04-21
...............\svcplot.m,3109,2001-10-12
...............\svdatanorm.m,1299,1998-06-23
...............\svkernel.m,2608,2001-10-11
...............\svr.m,3982,1998-08-21
...............\svrerror.m,1203,1998-08-21
...............\svroutput.m,711,1998-04-15
...............\svrplot.m,1823,1998-02-13
...............\svtol.m,401,1998-08-21
...............\uiclass.m,5386,1997-11-18
...............\uiclass.mat,12592,1997-11-18
...............\uiregress.m,5627,1997-09-27
...............\uiregress.mat,11640,1998-10-12

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

  • optimization_of_dexterous_hand
    优化灵巧手的各节长度,适用于多指灵巧手的手指结构优化设计的多目标优化函数。(to optimize the length of finger)
    2009-04-15 17:41:06下载
    积分:1
  • mail
    mailing system within lan
    2010-02-24 14:55:02下载
    积分:1
  • MATLAB_Simulink_tutorial
    this file is about matlab/simulink
    2011-09-03 06:32:45下载
    积分:1
  • matlab-vehicle-dynamics-programe
    matlab vehicle dynamics programe软件编写汽车动力性相关程序(matlab vehicle dynamics programe)
    2012-09-25 10:01:47下载
    积分:1
  • fdtd-matlab
    一些有用的时域有限差分算法的程序合集,涵盖各类边界条件。(Some useful fdtd programs )
    2011-12-07 22:44:05下载
    积分:1
  • Video
    This program detects the moving object and draws a rectangle around it.
    2010-01-07 16:51:03下载
    积分:1
  • preparations
    Tp filtrage numérique avec matlab
    2013-01-24 03:59:10下载
    积分:1
  • bbbb
    摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)
    2010-01-09 13:08:12下载
    积分:1
  • 06387787
    This paper deals with the modeling of the statistical distribution of the effective gain of terminals. This incorporates both the characteristics of the antenna’s radiation pattern in the situation of use, and the characteristics of the local propagation environment. A frequency-wise and frequency-correlated log-normally-distributed effective-gain model is proposed as a standard model of wide – although not universal – validity. This is done mainly for the sake of simplicity and ease of use. This model is tested in a few exemplary cases of measured and simulated terminals, using a subset of the WINNER channel model for the local propagation.
    2013-02-19 16:07:11下载
    积分:1
  • text1
    本代码用matlab编写Runge-Kutta算法程序,并且用ode45函数的编写代码进行对比分析。(The code is written using Runge-Kutta algorithm matlab program, and were analyzed by writing code ode45 function)
    2014-01-17 09:41:19下载
    积分:1
  • 696524资源总数
  • 103938会员总数
  • 55今日下载