登录
首页 » matlab » MATLAB_Tutorial

MATLAB_Tutorial

于 2011-01-01 发布 文件大小:172KB
0 246
下载积分: 1 下载次数: 1

代码说明:

  tutorial for matlab

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

  • xbbh
    二维哈尔小波变换,可以用来学习matlab对图像处理.(Second维哈尔wavelet transform, can be used to study matlab for image processing.)
    2008-12-24 15:52:51下载
    积分:1
  • qhate-manba
    induction motor cut off supply simulation
    2021-04-15 16:38:54下载
    积分:1
  • 222
    比较经典格拉姆施密特QR正交分解的matlab源程序(Comparison of the classical Gram Schmidt QR orthogonal decomposition matlab source)
    2010-12-15 17:22:35下载
    积分:1
  • lunwenbpbch
    这是对音频新训好进行bch编码后通过代同滤波器的程序(This is the new audio training for good after the BCH code generation through with the procedure Filter)
    2006-05-29 21:56:57下载
    积分:1
  • 2
    说明:  一级倒立摆的模糊控制与神经网络控制。Simulink仿真环境。使用说明:在使用模糊控制时先把*.fis导入workspace,否则无法运行。(An inverted pendulum fuzzy control and neural network control. Simulink simulation environment. Usage: in the use of fuzzy control to import*. fis first workspace, otherwise it is impossible to run.)
    2009-04-23 14:50:17下载
    积分:1
  • matlab-in-optics
    描述matlab在光学中的应用,包括衍射等光学现象的测试(Description matlab applications in optics, diffraction and other optical phenomena, including test)
    2011-06-01 11:11:34下载
    积分:1
  • konvolusi_citra
    Konvolusi Citra: Highpass,lowpass,gaussian,sobel,etc
    2013-04-26 09:29:07下载
    积分:1
  • matlabgui
    包含matlab GUI设计的书籍和源代码,并且包含 句柄函数用法举例和GUI界面设计资料(Contains matlab GUI design of the books and the source code, and contains Handle function usage for example and GUI interface design material)
    2011-12-19 21:19:24下载
    积分:1
  • mpc_1
    this is mpc example ....
    2014-01-30 03:41:55下载
    积分:1
  • SRGTSToolbox
    说明:  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能: 实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。 代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。 错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。 基于代理的优化:高效的全局优化(EGO)算法。 其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)
    2020-04-20 22:30:13下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载