登录
首页 » matlab » SVM_MATLAB

SVM_MATLAB

于 2014-02-13 发布 文件大小:2638KB
0 87
下载积分: 1 下载次数: 8

代码说明:

  四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写(Vector Machine SVM classification and regression algorithm toolbox four support. Written in MATLAB)

文件列表:

SVM_luzhenbo
............\Classification_LS_SVMlab.m,2571,2007-03-15
............\Classification_OSU_SVM.m,2075,2007-03-15
............\Classification_stprtool.m,2351,2007-03-15
............\Classification_SVM_SteveGunn.m,1542,2007-03-15
............\LS_SVMlab
............\.........\AFE.m,2738,2003-02-21
............\.........\bay_errorbar.m,5785,2003-02-21
............\.........\bay_initlssvm.m,2003,2003-02-21
............\.........\bay_lssvm.m,10345,2003-02-21
............\.........\bay_lssvmARD.m,8187,2003-02-21
............\.........\bay_modoutClass.m,9358,2003-02-21
............\.........\bay_optimize.m,5977,2003-02-21
............\.........\bay_rr.m,4178,2003-02-21
............\.........\buffer.mc,164,2005-04-15
............\.........\changelssvm.m,5632,2003-02-21
............\.........\code.asv,4245,2005-04-15
............\.........\code.m,4245,2005-04-15
............\.........\codedist_bay.m,2118,2003-02-21
............\.........\codedist_hamming.m,756,2003-02-21
............\.........\codedist_loss.m,2018,2003-02-21
............\.........\codelssvm.m,4125,2003-02-21
............\.........\code_ECOC.m,5197,2003-02-21
............\.........\code_MOC.m,550,2003-02-21
............\.........\code_OneVsAll.m,364,2003-02-21
............\.........\code_OneVsOne.m,555,2003-02-21
............\.........\Contents.m,32,2003-03-20
............\.........\crossvalidate.m,8174,2003-02-21
............\.........\deltablssvm.m,1886,2003-02-21
............\.........\democlass.m,3369,2003-02-21
............\.........\demofun.m,3864,2003-02-21
............\.........\demomodel.m,4748,2005-09-13
............\.........\demo_fixedclass.m,2259,2003-03-11
............\.........\demo_fixedsize.m,3099,2003-02-21
............\.........\demo_yinyang.m,3337,2003-02-21
............\.........\denoise_kpca.m,3507,2003-02-21
............\.........\eign.m,3414,2003-02-21
............\.........\gridsearch.m,6927,2003-02-21
............\.........\initlssvm.m,4042,2003-02-21
............\.........\kentropy.m,2206,2003-02-21
............\.........\kernel_matrix.m,2182,2003-02-21
............\.........\kpca.m,4833,2003-02-21
............\.........\latentlssvm.m,2398,2003-02-21
............\.........\leaveoneout.m,5510,2003-02-21
............\.........\leaveoneout_lssvm.m,5215,2003-02-21
............\.........\linesearch.m,3758,2003-02-21
............\.........\linf.m,313,2003-02-21
............\.........\lin_kernel.m,516,2003-02-21
............\.........\LS-SVMlab Toolbox User's Guide.pdf,849975,2003-03-10
............\.........\lssvm.dll,22528,2003-02-21
............\.........\lssvm1024.dll,22528,2003-02-21
............\.........\lssvm256.dll,22528,2003-02-21
............\.........\lssvm64.dll,22528,2003-02-21
............\.........\lssvmFILE.exe,25208,2003-02-21
............\.........\lssvmFILE.m,2558,2003-02-21
............\.........\lssvmFILE1024.exe,28260,2003-02-21
............\.........\lssvmFILE256.exe,28260,2003-02-21
............\.........\lssvmFILE64.exe,28256,2003-02-21
............\.........\lssvmMATLAB.m,3534,2003-02-21
............\.........\LS_SVM2.asv,6698,2005-04-15
............\.........\medae.m,311,2003-02-21
............\.........\misclass.m,693,2003-02-21
............\.........\MLP_kernel.m,608,2003-02-21
............\.........\mse1.m,291,2003-03-25
............\.........\phitures.dll,8704,2003-02-21
............\.........\plotlssvm.m,9672,2003-02-21
............\.........\poly_kernel.m,641,2003-02-21
............\.........\postlssvm.m,4838,2003-02-21
............\.........\predict.m,3485,2003-02-21
............\.........\prelssvm.m,6226,2003-02-21
............\.........\RBF_kernel.m,1073,2003-02-21
............\.........\rcrossvalidate.m,5665,2003-02-21
............\.........\ridgeregress.m,1436,2003-02-21
............\.........\robustlssvm.m,3067,2003-02-21
............\.........\roc.m,7416,2003-02-21
............\.........\simclssvm.dll,22016,2003-02-21
............\.........\simclssvm1024.dll,22016,2003-02-21
............\.........\simclssvm256.dll,22016,2003-02-21
............\.........\simclssvm64.dll,22016,2003-02-21
............\.........\simFILE.exe,26812,2003-02-21
............\.........\simFILE.m,2607,2003-02-21
............\.........\simFILE1024.exe,26812,2003-02-21
............\.........\simFILE256.exe,26812,2003-02-21
............\.........\simFILE64.exe,26812,2003-02-21
............\.........\simlssvm.m,7110,2005-04-15
............\.........\sparselssvm.m,3434,2003-02-21
............\.........\trainlssvm.m,10431,2003-02-21
............\.........\trimmedmse.m,1711,2003-02-21
............\.........\tunelssvm.m,9976,2003-02-21
............\.........\validate.m,4551,2003-02-21
............\.........\windowize.m,1937,2003-02-21
............\.........\windowizeNARX.m,1832,2003-02-21
............\OSU_SVM3.00
............\...........\cmap.mat,1728,1997-08-13
............\...........\Contents.m,2905,2002-02-25
............\...........\demo
............\...........\....\c_clademo.m,1907,2002-02-15
............\...........\....\c_lindemo.m,2892,2002-02-15
............\...........\....\c_poldemo.m,3367,2003-03-11
............\...........\....\c_rbfdemo.m,3248,2002-02-25

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

  • link_simulation
    dynamic simulation of a 2 dof link with matlab
    2012-04-25 13:17:41下载
    积分:1
  • RBF-(Function-Approximation)
    A project for function approximation by RBF neural network (with GUI).
    2011-07-16 15:08:18下载
    积分:1
  • SC_FDE
    单载波频域均衡,迫零算法以及MMSE算法的比较(Single-carrier frequency domain equalizatio,compare zeros and MMSE )
    2021-03-18 13:09:19下载
    积分:1
  • metropolis_hastings
    本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件:metropolis_hastings.m该文件包含4个示例,用于通过Metropolis-Hastings算法对复杂函数进行抽样,显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子,用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样,显示生成样本的相关图和直方图,以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)
    2017-07-08 16:12:26下载
    积分:1
  • 粒子群算法(PSO)应用于神经网络优化[matlab]
    粒子群算法(PSO)应用于神经网络优化,采样matlab编程(Particle swarm optimization (PSO) applied to neural network optimization, sampling matlab programming)
    2019-04-11 09:31:12下载
    积分:1
  • youxuliebiaocharu
    有序列表的插入,每次添加新数据时,保证整个列表的有序性(Into an ordered list, every time you add new data, to ensure the orderly nature of the entire list)
    2010-09-28 18:30:57下载
    积分:1
  • Matlab04
    摘 要:基于研究了离散混沌系统的数值解法和图形仿真,同时针对离散时滞混沌系统给出了数值仿真 的程序.(Abstract: Based on the study of a discrete chaotic system of numerical solution and graphical simulation, while for discrete time-delay chaotic system a numerical simulation procedure.)
    2008-05-16 10:45:22下载
    积分:1
  • butterworth
    说明:  一段带噪信号经过一butterworth低通滤波器后的输出,再求出其频谱!(butterworth)
    2010-04-22 16:37:55下载
    积分:1
  • MatlabExcelMac
    xlwrite Export Data to Excel from Matlab on MacWin
    2013-01-10 08:02:19下载
    积分:1
  • For-ncomplex-indllSt.rar
    模型是进行控制与稳定性分析的基础,可以服务于仿真、系统行为分析、系 统内在机理分析、控制、预测、监督与故障诊断等目的。因此,建立系统的模型 已成为许多科学研究与工程实施的首要问题。(Model is the basis for control and stability analysis, can serve simulation, system behavior analysis, the internal mechanism of the system analysis, control, forecasting, monitoring and troubleshooting purposes. Therefore, the establishment of the system model has been implemented for many scientific and engineering the most important issue.)
    2013-10-17 09:54:51下载
    积分:1
  • 696519资源总数
  • 104213会员总数
  • 20今日下载