登录
首页 » matlab » simplex2f

simplex2f

于 2012-12-03 发布 文件大小:1KB
0 102
下载积分: 1 下载次数: 2

代码说明:

  This program is about simplex2f!

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

  • M-Estimators
    Robust cost functions that based on M-Estimators and used as cost functions in order to robustify the learning algorithms for feed-forward neural networks
    2013-03-17 06:39:53下载
    积分:1
  • detypy
    算屈服点,延性系数 采用matlab编写的 通用屈服弯矩法(matlab )
    2013-11-11 15:48:16下载
    积分:1
  • RLtoolkit
    强化学习的仿真程序,用来实现小车爬坡的强化学习,有图形化的表达(Reinforcement learning simulation program used to implement the car climbing reinforcement learning, the graphical expression of)
    2012-05-26 23:49:17下载
    积分:1
  • matlabtelecommunication
    通信工程的实验 用matlab仿真 呈现图像(Communication Engineering Experimental matlab simulation render the image)
    2013-04-17 23:15:59下载
    积分:1
  • matlab_wavelet
    用matlab做的小波信号变换系统 对于初学Wavelet的同仁是个不错的入门资料(wavelet )
    2009-11-05 13:21:22下载
    积分:1
  • PLL_Design_3_costas
    该程序利用三阶科斯塔斯环实现锁相环结构,有效的估计输入信号的相位变化,在通信系统的同步上广泛应用。(The program uses the third-order Costas loop to achieve phase-locked loop structure, effectively estimate the phase change of the input signal, widely used in synchronous communications system.)
    2014-08-27 16:13:06下载
    积分:1
  • data
    MATLAB+Excel定量预测与决策:运作案例精编/张建林编著的原数据文件,包括每章的matlab文件和EXcel数据(MATLAB+ Excel quantitative forecasting and decision-making: operational case for fine/Jianlin edited the original data files, including files for each chapter and EXcel data matlab)
    2013-12-16 17:36:34下载
    积分:1
  • Change-m-files-into-exe
    将MATLAB源文件编译成可执行程序的步骤(MATLAB source files will be compiled into an executable program steps)
    2015-03-18 10:57:38下载
    积分:1
  • tamrin1-2-AND_OR_NOT
    And OR Not gate in cellular learning automata
    2013-08-21 13:05:49下载
    积分:1
  • iris-classification-matlab-master
    In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.
    2014-09-21 00:53:28下载
    积分:1
  • 696518资源总数
  • 104432会员总数
  • 16今日下载