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GFS Toolbox

于 2021-04-10 发布
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代码说明：

说明：  二型模糊系统的工具箱，一个很好学习二型模糊的软件(Toolbox for Type 2 Fuzzy Systems, a good software for learning Type 2 Fuzzy Systems)

文件列表：

GFS Toolbox, 0 , 2019-03-17
GFS Toolbox\AFZ.fig, 3613 , 2008-06-11
GFS Toolbox\AFZ.m, 1564 , 2008-06-11
GFS Toolbox\defuz.m, 1199 , 2008-07-01
GFS Toolbox\Docs, 0 , 2019-03-17
GFS Toolbox\Docs\Compare.docx, 12994 , 2008-08-14
GFS Toolbox\Docs\Comparison.docx, 20924 , 2008-08-14
GFS Toolbox\Docs\GFS Vs FIS.ppt, 483328 , 2008-06-13
GFS Toolbox\Docs\IT2 Snaps.doc, 185856 , 2008-06-27
GFS Toolbox\Docs\Records.m, 1331 , 2008-08-04
GFS Toolbox\Docs\SYS.docx, 12188 , 2008-08-18
GFS Toolbox\Docs\Till 30.06.08.ppt, 629760 , 2008-06-30
GFS Toolbox\Docs\Tutorial proposal 03.doc, 97280 , 2008-08-26
GFS Toolbox\Docs\Tutorial Proposal for GECCO 2009 (Beowulf Clusters for Evolutionary Computing).pdf, 86575 , 2008-08-21
GFS Toolbox\Docs\Tutorial proposal.docx, 57970 , 2008-08-25
GFS Toolbox\Docs\Tutorials.doc, 432640 , 2008-05-30
GFS Toolbox\ENDT2.fig, 33306 , 2008-06-02
GFS Toolbox\ENDT2.m, 7003 , 2008-06-02
GFS Toolbox\Exp.fis, 732 , 2009-03-23
GFS Toolbox\FIS Examples, 0 , 2019-03-17
GFS Toolbox\FIS Examples\Examp.fis, 734 , 2008-11-09
GFS Toolbox\FIS Examples\Examp2.fis, 828 , 2008-06-18
GFS Toolbox\FIS Examples\ImpIRIS8.fis, 713 , 2008-08-02
GFS Toolbox\fis2gfs.m, 3785 , 2008-11-09
GFS Toolbox\FUZ.fig, 25463 , 2008-11-16
GFS Toolbox\FUZ.m, 231988 , 2009-03-23
GFS Toolbox\Gen1.GFS, 1403 , 2008-11-14
GFS Toolbox\GFS Examples, 0 , 2019-03-17
GFS Toolbox\GFS Examples\Examp.GFS, 935 , 2008-11-09
GFS Toolbox\GFS Examples\iris.GFS, 1281 , 2008-10-22
GFS Toolbox\GFS Examples\IRISIT2.GFS, 1122 , 2008-08-02
GFS Toolbox\GFS Examples\IRISIT2-1.GFS, 1132 , 2008-09-03
GFS Toolbox\GFS Examples\IRISIT2-2.GFS, 1133 , 2008-09-03
GFS Toolbox\GFS Examples\IRISIT2-3.GFS, 1128 , 2008-09-03
GFS Toolbox\GFS Examples\IRISIT2-4.GFS, 1134 , 2008-09-03
GFS Toolbox\GFS Examples\IRISST1.GFS, 927 , 2008-08-03
GFS Toolbox\GFS Examples\IRISTT21.GFS, 1317 , 2008-08-03
GFS Toolbox\GFS Examples\IRISTT21-1.GFS, 1326 , 2008-08-03
GFS Toolbox\GFS Examples\IRISTT21-2.GFS, 1324 , 2008-08-04
GFS Toolbox\GFS Examples\IRISTT21-3.GFS, 1324 , 2008-08-12
GFS Toolbox\GFS Examples\Test GT21.GFS, 1608 , 2008-11-01
GFS Toolbox\GFS Examples\Test ST1.GFS, 1384 , 2008-08-28
GFS Toolbox\GFS Examples\Test TT21.GFS, 1706 , 2008-11-01
GFS Toolbox\GFS Examples\Test TT22.GFS, 1523 , 2009-03-23
GFS Toolbox\GFS Examples\Test TT23.GFS, 1788 , 2008-11-02
GFS Toolbox\GFS Validation Experiments, 0 , 2019-03-17
GFS Toolbox\GFS Validation Experiments\All&T.fig, 36357 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\All&T1.jpg, 60365 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\All&T2.jpg, 51068 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\All.fig, 40597 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\All.jpg, 44850 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\HighDensity.fig, 67475 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\mix.fig, 22551 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\mix.jpg, 34819 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\mix.mat, 8768 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\pro.mat, 11825 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\TFS.mat, 17786 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\TI.mat, 2980 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\tri.fig, 21375 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\tri.jpg, 33813 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\tri.mat, 7819 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\TT.mat, 3054 , 2008-07-22
GFS Toolbox\GFS Validation Experiments\TTS.mat, 695 , 2008-07-23
GFS Toolbox\GFS Validation Experiments\ValExpIT21-1.GFS, 1170 , 2009-02-11
GFS Toolbox\GFS Validation Experiments\ValExpIT21-2.GFS, 1278 , 2009-02-11
GFS Toolbox\GFS Validation Experiments\ValExpIT21-3.GFS, 1155 , 2009-02-11
GFS Toolbox\GFS Validation Experiments\ValExpST1-3.GFS, 936 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\ValExpST1-L.GFS, 928 , 2008-07-20
GFS Toolbox\GFS Validation Experiments\ValExpST1-R.GFS, 931 , 2008-07-20
GFS Toolbox\GFS Validation Experiments\ValExpST2-L.GFS, 982 , 2008-07-20
GFS Toolbox\GFS Validation Experiments\ValExpST2-R.GFS, 988 , 2008-07-20
GFS Toolbox\GFS Validation Experiments\ValExpST3-L.GFS, 923 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\ValExpST3-R.GFS, 923 , 2008-07-21
GFS Toolbox\GFS Validation Experiments\ValExpTT21-1.GFS, 1397 , 2009-02-11
GFS Toolbox\GFS Validation Experiments\ValExpTT21-2.GFS, 1411 , 2009-02-11
GFS Toolbox\GFS Validation Experiments\wide.mat, 8703 , 2008-07-21
GFS Toolbox\guictrl.m, 5308 , 2009-06-09
GFS Toolbox\IO.fig, 3167 , 2008-06-23
GFS Toolbox\IO.m, 5747 , 2008-06-23
GFS Toolbox\IRIS Data Problem, 0 , 2019-03-17
GFS Toolbox\IRIS Data Problem\Chromosom.m, 1807 , 2008-07-27
GFS Toolbox\IRIS Data Problem\Implementation of Evolutionary Fuzzy Systems.pdf, 227409 , 2008-07-22
GFS Toolbox\IRIS Data Problem\IRIS DATA.xls, 146944 , 2008-07-24
GFS Toolbox\IRIS Data Problem\IRIS GA, 0 , 2019-03-17
GFS Toolbox\IRIS Data Problem\IRIS GA\backgensys.m, 3399 , 2008-07-27
GFS Toolbox\IRIS Data Problem\IRIS GA\BG.mat, 2362 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\DESIRIS.fis, 993 , 2008-07-27
GFS Toolbox\IRIS Data Problem\IRIS GA\GA.mat, 15480 , 2008-07-31
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules, 0 , 2019-03-17
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\GA.mat, 12797 , 2008-07-31
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen3.fig, 8615 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen3.fis, 1468 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\gen30rulesys.m, 3113 , 2008-07-31
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen4.fig, 8435 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen4.fis, 1455 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen5.fig, 9405 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Gen5.fis, 1459 , 2008-07-29
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\init30rulepop.m, 2908 , 2008-07-31
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\IRIS.mat, 1339 , 2008-07-27
GFS Toolbox\IRIS Data Problem\IRIS GA\GA30Rules\Rayleigh.mat, 24038 , 2008-08-03

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  • zhoujiufanshe
    说明：  啁啾光纤光栅的程序，反射谱情形，很不错。(Chirped fiber grating process, reflection spectra of the situation, very good.)
    2010-03-29 21:27:28下载
    积分：1
  • shiyongxiaobo
    说明：  本书<<实用小波方法>>用通俗的数学语言介绍了小波理论及其应用的基本知识，围绕时-频分析需要的问题，讨论了Fourier变换和窗口Fourier变换的不足之处，详细分析了小波变换的基本原理.(Book &lt &lt Practical wavelet method&gt &gt in simple mathematical language description of wavelet theory and its applications, basic knowledge, around the time- frequency analysis of the problem need to discuss the window Fourier transform and Fourier transform shortcomings are analyzed in detail The basic principle of wavelet transform.)
    2010-04-24 21:16:41下载
    积分：1
  • kkepkbvh
    有小波分析的盲信号处理，matlab编写的元胞自动机，基于分段非线性权重值的Pso算法，包括主成分分析、因子分析、贝叶斯分析，滤波求和方式实现宽带波束形成，正确率可以达到98％。(There Wavelet Analysis Blind Signal Processing, matlab prepared cellular automata, Based on piecewise nonlinear weight value Pso algorithm, Including principal component analysis, factor analysis, Bayesian analysis, Filtering summation way broadband beamforming, Accuracy can reach 98 .)
    2016-02-27 11:53:21下载
    积分：1
  • lin
    用于数字图像处理的图像反转和变换的程序，实测可用(For digital image processing and conversion of the image reversal process, the measured available)
    2009-05-13 21:26:15下载
    积分：1
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    ovsf码的编程算法， matlab实现， 可以直接使用(ovsf matlab)
    2015-03-03 11:04:59下载
    积分：1
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    PAM编，实现其取样与恢复。比较基本，可以用来入门。(PAM program)
    2013-05-07 15:19:45下载
    积分：1
  • test
    说明：  A*算法；路径规划；matlab栅格法;全局路径规划算法需要画栅格地图，添加障碍物，起点，目标点，本例程可以生成地图(path planning;The global path planning algorithm needs to draw a raster map, add obstacles, starting points, target points, this routine can generate a map)
    2021-03-26 18:51:41下载
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  • 222
    对matlab的工作文件夹work里的图像进行二值化的简单程序(The work of the matlab folder work in the binary image of a simple procedure)
    2009-05-29 14:53:34下载
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  • LS_SVM
    最小二乘支持向量机，LS_SVM.m为主函数，normalization.m为归一化函数，release.m为反归一化函数。(Least squares support vector machine, LS_SVM.m is the main function, normalization.m is the normalization function, release.m is the normalization function.)
    2010-12-28 21:16:50下载
    积分：1
  • levelset segmentation biasCorrection v1
    基于matlab平台的水平集图像分割,用于对图像边缘进行分割。(levelset image segmentation based on matlab)
    2018-04-03 11:27:48下载
    积分：1
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