登录
首页 » matlab » MATLAB_Codes

MATLAB_Codes

于 2021-04-13 发布
0 165
下载积分: 1 下载次数: 1
我要下载

代码说明：

说明：  matlab智能算法数值分析数值优化路径规划人工智能神经网络(Matlab intelligent algorithm 30 examples, learn numerical algorithms and artificial intelligence path planning numerical optimization)

文件列表：

chapter1, 0 , 2021-04-13
chapter1\example1.m, 1909 , 2010-10-31
chapter1\example2.m, 2113 , 2010-10-31
chapter1\Sheffield的遗传算法工具箱.rar, 423860 , 2015-06-14
chapter10, 0 , 2021-04-13
chapter10\data.mat, 422 , 2010-12-28
chapter10\main.m, 6048 , 2010-12-28
chapter11, 0 , 2021-04-13
chapter11\aberranceJm.m, 1067 , 2007-09-24
chapter11\across.m, 2329 , 2007-09-17
chapter11\cal.m, 1325 , 2007-09-17
chapter11\calp.m, 555 , 2007-09-17
chapter11\caltime.m, 1276 , 2007-09-17
chapter11\Find.m, 178 , 2007-08-22
chapter11\main.m, 2816 , 2015-06-18
chapter11\plotRec.m, 487 , 2007-07-14
chapter11\ranking.M, 4708 , 2010-12-23
chapter11\REINS.M, 5574 , 1998-04-22
chapter11\RWS.M, 1090 , 1998-04-22
chapter11\scheduleData.mat, 527 , 2010-12-23
chapter11\SELECT.M, 2401 , 1998-04-22
chapter11\selectJm.m, 398 , 2007-09-24
chapter12, 0 , 2021-04-13
chapter12\bestselect.m, 1669 , 2010-09-06
chapter12\centre.fig, 7910 , 2010-09-07
chapter12\concentration.m, 479 , 2010-09-06
chapter12\Cross.m, 1294 , 2010-09-06
chapter12\draw.m, 1046 , 2010-09-06
chapter12\excellence.m, 400 , 2010-09-06
chapter12\figure.fig, 9007 , 2010-09-07
chapter12\fitness.m, 901 , 2010-09-07
chapter12\IAdata.mat, 4838 , 2010-09-07
chapter12\incorporate.m, 1102 , 2010-09-06
chapter12\main.m, 3676 , 2010-12-28
chapter12\Mutation.m, 1001 , 2010-09-06
chapter12\popinit.m, 319 , 2010-09-06
chapter12\Select.m, 912 , 2010-09-06
chapter12\similar.m, 377 , 2010-09-06
chapter12\test.m, 580 , 2010-09-06
chapter13, 0 , 2021-04-13
chapter13\sample1, 0 , 2021-04-13
chapter13\sample1\fun.m, 241 , 2010-08-03
chapter13\sample1\main.m, 1579 , 2010-08-05
chapter13\sample1\MexicoHatnew.m, 174 , 2010-08-03
chapter13\sample1\PSO0.m, 1802 , 2010-08-05
chapter13\sample1\PSO1.m, 1859 , 2010-08-05
chapter13\sample1\PSO2.m, 1859 , 2010-08-05
chapter13\sample1\PSO3.m, 1878 , 2010-08-05
chapter13\sample1\PSO4.m, 1863 , 2010-08-05
chapter13\sample1\wchange.m, 353 , 2010-08-05
chapter13\sample2-Rastrgrin, 0 , 2021-04-13
chapter13\sample2-Rastrgrin\fun.m, 197 , 2010-08-09
chapter13\sample2-Rastrgrin\pso.fig, 6256 , 2010-08-09
chapter13\sample2-Rastrgrin\PSO.m, 1571 , 2010-08-09
chapter13\sample2-Rastrgrin\pso.mat, 2624 , 2010-08-09
chapter13\sample2-Rastrgrin\rastrigrin.fig, 123876 , 2010-08-09
chapter13\sample2-Rastrgrin\rastrigrin.m, 128 , 2010-08-09
chapter13\sample3-Griewankan, 0 , 2021-04-13
chapter13\sample3-Griewankan\fun.m, 209 , 2010-08-09
chapter13\sample3-Griewankan\Griewank.fig, 699309 , 2010-08-09
chapter13\sample3-Griewankan\Griewank.m, 146 , 2010-08-09
chapter13\sample3-Griewankan\pso.fig, 5867 , 2010-08-11
chapter13\sample3-Griewankan\PSO.m, 1582 , 2010-08-11
chapter13\sample3-Griewankan\pso.mat, 4509 , 2010-08-11
chapter14, 0 , 2021-04-13
chapter14\GA_run.m, 477 , 2010-08-23
chapter14\PID_Model.mdl, 29558 , 2010-08-22
chapter14\PSO.m, 2589 , 2010-08-23
chapter14\PSO_PID.m, 174 , 2010-08-22
chapter14\问题解决思路.pdf, 116504 , 2010-08-23
chapter15, 0 , 2021-04-13
chapter15\bayg29.txt, 695 , 2009-06-12
chapter15\burma14.txt, 236 , 2009-06-12
chapter15\ch130.txt, 4394 , 2009-06-12
chapter15\ch150.txt, 5098 , 2009-06-12
chapter15\dist.m, 126 , 2009-06-12
chapter15\eil51.txt, 444 , 2009-06-12
chapter15\fitness.m, 419 , 2010-10-16
chapter15\gr96.txt, 1628 , 2009-06-12
chapter15\main.m, 5566 , 2011-03-19
chapter15\Oliver30.txt, 434 , 2009-06-12
chapter15\pr226.txt, 3459 , 2009-06-12
chapter15\pr76.txt, 1117 , 2009-06-12
chapter15\st70.txt, 678 , 2009-06-12
chapter16, 0 , 2021-04-13
chapter16\DF1function.m, 586 , 2010-11-16
chapter16\fitnessRecord.mat, 4236 , 2010-11-12
chapter16\main.m, 2689 , 2015-06-30
chapter16\result.mat, 12567 , 2010-06-29
chapter17, 0 , 2021-04-13
chapter17\PSOt, 0 , 2021-04-13
chapter17\PSOt\forcecol.m, 172 , 2004-04-27
chapter17\PSOt\forcerow.m, 181 , 2004-04-27
chapter17\PSOt\goplotpso.m, 5790 , 2010-11-04
chapter17\PSOt\linear_dyn.m, 749 , 2004-08-23
chapter17\PSOt\normmat.m, 4588 , 2006-03-17
chapter17\PSOt\pso_Trelea_vectorized.m, 22526 , 2009-12-20
chapter17\PSOt\spiral_dyn.m, 841 , 2004-08-27
chapter17\testfunctions, 0 , 2021-04-13
chapter17\testfunctions\ackley.m, 871 , 2004-08-23

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

  • gpc_step
    所谓阶梯式控制，就是对未来控制量的变化加以约束，强迫未来控制量以一阶指数响应曲线的形式变化。在这种控制策略下，可以避免求解控制律时的矩阵求逆，且在处理约束限制时，可方便将 和 的约束转化为对 的约束，减少了算法计算量。(The so-called ladder-type control, is the change in the future to control the amount of bound, forced to the future control the amount of the first order exponential response curve in the form of change. In this control strategy, the control law can be avoided when solving the matrix inversion, and the limit in dealing with constraints, and constraints can easily be translated into constraints, reducing the computational algorithm.)
    2011-06-22 21:23:29下载
    积分：1
  • K08auto
    附件中的pdf文件是韩国作者08年在Automatica上发表的文章。本代码给出了文章中定理1的线性矩阵不等式的求解程序，通过给定不同的a来求解最大的b,进而得到界定时滞系统的最小的椭圆。(Attached pdf file of 2008 in South Korea articles published in Automatica. This code is given in Theorem 1 article LMI solver through a given different to solve the biggest b, then get the minimum of delay systems defined ellipse.)
    2013-11-06 16:26:07下载
    积分：1
  • Tues-A17_01-Beatty-Gridding
    In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.
    2012-05-27 18:19:18下载
    积分：1
  • with-fuzzy
    It is a novel fuzzy based sleep mode technique for WSN that turns off the ONUs (placed at the customer premises) when certain traffic conditions are verified. The objective is to achieve an improved energy efficiency without impacting too much the Quality of Service perceived by end-users. The whole operation is managed at the central Node and the length of the sleep time periods is computed employing a statistical method.
    2014-10-27 15:56:51下载
    积分：1
  • gavno
    In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.
    2010-12-13 18:27:16下载
    积分：1
  • fdm
    it is an ofdm simulation in simulink 2009b
    2010-06-24 20:14:19下载
    积分：1
  • NLMS
    本例程为改进的LMS算法NLMS算法的MATLAB实现和其收敛性的验证程序(This routine is improved LMS algorithm NLMS algorithm in MATLAB and its convergence verification procedures)
    2011-12-30 11:00:47下载
    积分：1
  • 1
    说明：  基于MATLAB的视网膜图像分割，对视网膜的血管进行分割，分割效果良好(MATLAB based retinal image segmentation, segmentation of retinal blood vessels, segmentation good results)
    2021-04-27 12:58:44下载
    积分：1
  • mysteryofcode
    编码的奥秘，一本从无到有的计算机教材，从事计算机人士的必读读物。(Coded mystery a computer from scratch teaching materials are required reading in computer books.)
    2010-03-08 19:55:59下载
    积分：1
  • MATLAB-GUI-introdunce
    MATLAB gui新手必备的，常用的一些控件回调函数程序段。(The MATLAB gui novice must, commonly used control callback function block.)
    2013-05-11 10:29:01下载
    积分：1
  • 696518资源总数
  • 105885会员总数
  • 31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© 2019-2025 | 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！