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WindowsApplication_Example
VSharp学习软件源代码WindowsApplication_Example示例程序(VSharp learning software WindowsApplication_Example sample application source code)
- 2007-10-08 11:07:11下载
- 积分：1
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facedetection
简单的人脸识别代码，如果是其他图片的话，放在当前文件下，修改一下文件名即可。(Face Recognition simple code, if it is the other picture, then on the current file, the file name can be changed a bit.)
- 2009-05-05 09:33:30下载
- 积分：1
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SHOW
Shows a 3d shape and its centerline
- 2010-11-11 07:44:36下载
- 积分：1
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linear-search
一种常用的线性搜索技术，快速精确希望对大家有所帮助。(A common linear search technology, quickly and accurately hoping help you.)
- 2013-07-19 12:05:29下载
- 积分：1
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EmoteAnalyzer
情緒分析程式, 運用心跳和體溫綜合分析, 顯示在flash手機介面(emotion detection by heart-beat and body temperature. View the flash mobile interface.)
- 2009-11-15 09:36:21下载
- 积分：1
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fuzzypid
倒立摆 MATLAB 模糊pid控制以及仿真(Inverted pendulum MATLAB fuzzy pid control)
- 2013-01-04 14:29:10下载
- 积分：1
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ga_main
这是一个关于遗传算法解觉非线性函数优化问题的函数，通过它，你可以自己设计初始化参数来求解问题(It is used for some very different problems such as some unliner function)
- 2011-05-07 13:02:35下载
- 积分：1
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CPhbl302
超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)
- 2007-04-19 13:17:40下载
- 积分：1
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ADRC-chen
ADRC即自抗扰控制器的matlab仿真程序，包括离散法求输出和龙格库塔法求输出两个M文件。已编译过，参数调好了。(ADRC since the anti-rejection controller matlab simulation program, including the discrete method for the output and the Runge-Kutta method seeking output two M-files. Has been compiled, the parameters of a good tune.)
- 2013-04-18 11:58:45下载
- 积分：1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分：1
