登录
首页 » matlab » 3.23PSO-SVM参数优化预测

3.23PSO-SVM参数优化预测

于 2019-03-25 发布
0 300
下载积分: 1 下载次数: 28

代码说明:

说明:  pso优化的支持向量机的时序序列预测 内中有数据 需安装工具箱(Pso-optimized support vector machine needs toolbox to install data in time series prediction)

文件列表:

3.23PSO-SVM参数优化预测, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\chapter_PSO2.m, 1286 , 2019-03-23
3.23PSO-SVM参数优化预测\chapter_PSO3.m, 2557 , 2019-03-23
3.23PSO-SVM参数优化预测\data2.mat, 560 , 2019-03-23
3.23PSO-SVM参数优化预测\data3.mat, 1432 , 2019-03-22
3.23PSO-SVM参数优化预测\data50.mat, 3788 , 2019-03-23
3.23PSO-SVM参数优化预测\predictorsfun.m, 396 , 2019-03-14
3.23PSO-SVM参数优化预测\rollfun.m, 885 , 2019-03-14
3.23PSO-SVM参数优化预测\SVM-toolbox, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto], 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\a_template_flow_usingSVM_class.m, 2519 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\a_template_flow_usingSVM_regress.m, 2338 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\ClassResult.m, 2086 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\ClassResult_test.m, 366 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\gaSVMcgForClass.m, 3579 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\gaSVMcgForRegress.m, 3468 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\gaSVMcgpForRegress.m, 3744 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\libsvm参数说明.txt, 2865 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield], 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\bs2rv.m, 3217 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\contents.m, 1835 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtbase.m, 1168 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtbp.m, 2187 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\crtrp.m, 2091 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\migrate.m, 7205 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mpga.m, 4019 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mut.m, 1609 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mutate.m, 3437 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mutbga.m, 4943 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mytest, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\mytest\gaSVM.m, 2792 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\ranking.m, 4709 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recdis.m, 1825 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recint.m, 1895 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\reclin.m, 1953 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recmut.m, 4852 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\recombin.m, 2438 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\reins.m, 5574 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\rep.m, 1208 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\resplot.m, 2080 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\rws.m, 1090 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\scaling.m, 1270 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\select.m, 2401 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\sus.m, 1319 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovdp.m, 1042 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovdprs.m, 1090 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovmp.m, 2795 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovsh.m, 1032 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovshrs.m, 1080 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovsp.m, 1043 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\gatbx[Sheffield]\xovsprs.m, 1090 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\myprivate\plotroc2009b.m, 5374 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\pcaForSVM.m, 1272 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\plotSVMroc.m, 1304 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\plotSVMroc_test.m, 381 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\plotSVMroc_test2.m, 1002 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\psoSVMcgForClass.m, 5586 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\psoSVMcgForRegress.m, 5349 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\psoSVMcgpForRegress.m, 6208 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\Readme[by faruto]CN.txt, 1602 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\Readme[by faruto]EN.txt, 2706 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\scaleForSVM.m, 998 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVC.m, 4139 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVC_test.m, 1026 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVMcgForClass.m, 2643 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVMcgForRegress.m, 2546 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\svmplot.m, 1872 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVR.m, 6012 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\SVR_test.m, 1494 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\#gaSVMcgForClass.m, 7841 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\#gaSVMcgForRegress.m, 7692 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\#gaSVMcgpForRegress.m, 8223 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\DCTforSVM.m, 406 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\fasticaForSVM.m, 871 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\SVMcgpForRegress.m, 2593 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\testFor_DCT.m, 1362 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\testingFuntion_beta\test_for_ica_SVM.m, 1126 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data2, 0 , 2019-03-23
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data2\wine_test.mat, 23120 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data2\x123.mat, 2936 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\adult.mat, 132501 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\book.mat, 33319 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\data1.mat, 9736 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\image_seg.mat, 146444 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\test1.mat, 3640 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\testFor_image_seg.m, 1888 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\wine_test.mat, 23120 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\test_data\x123.mat, 2936 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\TutorialForFarutoUltimate3.1.pdf, 237947 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\TutorialTest.m, 3972 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\VF.m, 3869 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab-implement[by faruto]\更新说明2011.06.10.txt, 981 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab\heart_scale.mat, 28904 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab\libsvmread.c, 3988 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab\libsvmread.mexw32, 20480 , 2017-03-20
3.23PSO-SVM参数优化预测\SVM-toolbox\matlab\libsvmwrite.c, 2123 , 2017-03-20

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

  • lmsandmmse
    MATLAB程序:基于LS和MMSE算法的MSE比较(Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square error)
    2009-05-19 22:34:05下载
    积分:1
  • adaptivenoisecancellation
    设计一个2阶加权自适应噪声对消器,对经加性白高斯噪声信道干扰的正弦信号进行滤波(The design of a 2-order-weighted adaptive noise cancellation, and for the AWGN channel interference filtering of sinusoidal signals)
    2009-07-04 10:07:40下载
    积分:1
  • 精密单点定位的Matlab code
    程序里面有renix格式的数据,可以用来进行进行精密单点定位处理。(The program has data in renix format, which can be used for precise point positioning)
    2018-09-11 21:51:35下载
    积分:1
  • bgtz_fskd
    FSK for digital communication or digital signal processing
    2010-06-01 19:58:14下载
    积分:1
  • matlabxl_examples
    计算矩阵特征值,特征向量,扎德算子,用于评系统的调用。(Calculating eigenvalues)
    2013-10-19 10:16:15下载
    积分:1
  • m-files
    codes examples in matlab
    2010-12-06 03:56:45下载
    积分:1
  • 3
    说明:  对电网动态无功补偿的仿真能够实现对无功的实时补偿(Simulation of dynamic reactive power compensation to achieve real-time compensation of reactive)
    2012-06-26 11:40:09下载
    积分:1
  • 16qam
    16QAM通过带限信道,设码元速率为1000波特,传输的滚降系数是0.75的滚降升余弦滤波器(16QAM by band-limited channel, set the symbol rate is 1000 baud, roll-off factor of transmission is 0.75 rolloff raised cosine filter)
    2014-11-28 14:39:14下载
    积分:1
  • iphone
    二维码编码,QR码实现,Two-dimensional coding, QR code to achieve, Two-dimensional coding(Two-dimensional coding, QR code to achieve, Two-dimensional coding)
    2010-09-07 09:22:17下载
    积分:1
  • DSP8
    说明:  数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)
    2006-04-17 21:37:12下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载