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io重叠中的完成实例模型，典型代码，ioCallBack源码(io complete overlap in the model example of a typical code, ioCallBack source)

说明：  matlab 从入门到精通，很好的文档，珍藏多年(matlab From Novice to Professional, well documented, the collection for many years)

双馈式电机的控制策略方法的仿真搭建和运行(The control method of operation DFIG)

针对灰狼优化算法在求解连续函数优化问题时精度不高、易出现早熟收敛等缺陷,提出一种改进的灰狼优化算法(Grey Wolf Optimizer)

image segmentation with GMM

matlab毕业设计的一个小程序 我非常需要用用你们网站上的资料但是不知道怎么弄 我就在试试的，(Matlab graduate design a small program I really need to use on your site, but do not know how to get me to try,)

论文“action recognition fiom one example”的仿真程序(action recognition fiom one example)

说明：  用于pid控制的Z-N整定的matlab程序，调整阈值可得到精确解，适合初学者学习理解。(The matlab program of Z-N tuning for PID control can get accurate solution by adjusting the threshold value, which is suitable for beginners to learn and understand.)

一款比较新的绘图软件的电脑书籍，比MATLAB更容易实现(A relatively new mapping software to computer books, is more easily achieved than in MATLAB)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)