登录
首页 » matlab » MARKOV

MARKOV

于 2015-04-21 发布 文件大小:8KB
0 267
下载积分: 1 下载次数: 31

代码说明:

  MARKOv的应用 Step 1,求出各食品数据的增长率; Step 2,编程,使快速上升(>=0.03) ,在程序中用“2”表示;缓慢上升 (0,0.03),在程序中用“1”表示;相对不变 0,在程序中用“0”表示;缓慢下降(-0.03,0) ,在程序中用“-1”表示;快速下降 (

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

  • beamforming
    单信源情况下线阵的波束形成基本简单源程序,初学者参考(Single-source situation downline array beamforming basic simple source, beginners reference)
    2015-03-30 10:54:45下载
    积分:1
  • smooth-algorithm
    平滑矩阵的music算法,是阵列信号处理的一种算法.....(Music smoothing matrix algorithm is an algorithm array signal processing .....)
    2013-12-31 10:26:50下载
    积分:1
  • l1ls
    解决L1范数问题,以及类似的一些问题,常用语机器学习等领域(Solve L1 norm problems, and similar problems, commonly used language machine learning and other fields.)
    2018-06-17 09:23:39下载
    积分:1
  • Introduction-to-MATLAB-and-Simulink-Third-Edition
    It introduces how to work with MATLAB
    2012-07-21 12:20:50下载
    积分:1
  • test1
    matlab with images, logging message
    2013-12-06 17:21:06下载
    积分:1
  • ZVS-open-and-close-loop
    ZVS的开环和闭环的matlab仿真,很准确的(simulink of ZVS open and close loop)
    2011-12-22 13:17:14下载
    积分:1
  • FEC
    聚类算法中的启发式算法中的FEC算法,可以处理复杂网络的问题。(Clustering algorithm heuristics in the FEC algorithm can handle complex network problems.)
    2010-01-07 15:40:03下载
    积分:1
  • Dual-Mode-MCMA_DD-LMS
    可以实现Dual-Mode MCMA+DD-LMS的盲均衡算法,效果比MCMA及DD-LMS好,同时解决了相位旋转(It can implement Dual-Mode MCMA+DD-LMS blind equalization algorithm, better than good MCMA and DD-LMS, while addressing the phase rotation)
    2013-07-24 10:08:06下载
    积分:1
  • 2
    说明:  对单载频高斯脉冲的发生和其频移的研究,能够正常运行,很好的学习的例子。(The single transmits the happening of the gaussian pulse and its frequency shift research, can run normally, very good example. )
    2011-12-04 10:23:14下载
    积分:1
  • demofun
    This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.
    2015-01-18 05:53:25下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载