登录
首页 » matlab » xiaobo

xiaobo

于 2011-05-31 发布 文件大小:451KB
0 204
下载积分: 1 下载次数: 4

代码说明:

  这篇文章最近看的觉得挺有用的,希望能对做这方面的朋友有所帮助!(Read this article recently that Tingyou use, hoping to make friends in this area help!)

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

  • Newton_interplotion
    说明:  牛顿插值的MATLAB程序。需要的来下载。(Newton interpolation process of MATLAB. Need to download.)
    2009-08-02 00:07:21下载
    积分:1
  • henbang_v77
    用MATLAB实现动态聚类或迭代自组织数据分析,最大信噪比的独立分量分析算法,小波包分析提取振动信号中的特征频率。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, SNR largest independent component analysis algorithm, Wavelet packet analysis to extract vibration signal characteristic frequency.)
    2017-01-06 13:27:43下载
    积分:1
  • MATLAB
    此资料详细介绍了matlab基本的使用方法,通俗易懂 自学就可以初步掌握matlab(MATLAB)
    2009-12-10 13:29:45下载
    积分:1
  • xiaobofenxi
    说明:  一些小波分析的有用程序 能帮助大家更好的理解一些小波变换和小波的主要功能(wavelet)
    2010-04-11 16:19:01下载
    积分:1
  • nfc_fis
    Conjugate gradient method
    2011-06-05 03:29:59下载
    积分:1
  • Chapter-4
    chapter 4 sutton ebook exercise
    2012-07-09 04:58:05下载
    积分:1
  • DMC
    Kalman滤波,能快速收敛,对学习Kalman 滤波的朋友会很有用(Kalman filtering, fast convergence, a friend of the Kalman filter to learn useful)
    2011-10-11 10:37:40下载
    积分:1
  • GAforPathPlaning
    说明:  采用栅格对机器人的工作空间进行划分,再利用优化算法对机器人路径优化,是采用智能算法求最优路径的一个经典问题。目前,采用蚁群算法在栅格地图上进行路径优化取得比较好的效果,而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括:1保证路径不间断,2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的,就是种群初始化,选择,交叉,变异,适应度计算这样,那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)
    2019-05-02 14:56:19下载
    积分:1
  • example11
    simulink仿真例子,simulink(Simulink simulation example, Simulink)
    2006-06-30 11:28:43下载
    积分:1
  • couplehelper
    couple helper system for flyff
    2014-12-31 04:35:08下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载