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Wwt
wavelet network (wavelet function as activation function of the nodes of the hiden layer of the neural network , MLP) can be used for classification
- 2009-10-24 21:25:12下载
- 积分:1
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cloudPlot
说明: 一种用于生成二维数据分布图形的函数,在观察大数据量的数据集合是很有效.(A function to plot the distribution of 2-dimensional data)
- 2009-08-08 21:31:35下载
- 积分:1
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Matlab
石油钻井预警系统的MATLAB程序,各个程序都有。。(Oil drilling early warning system MATLAB program, the various processes. .)
- 2009-09-09 15:07:19下载
- 积分:1
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siftDemoV4
基于Matlab编程环境下的程序,SIFT目前比较热门的特征提取程序。(Matlab programming environment based on the procedure, SIFT now more popular feature extraction process.)
- 2010-05-13 08:59:31下载
- 积分:1
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2
说明: Copula函数,以及相关性计算和相应的散点图(Copula compute)
- 2013-11-18 22:52:38下载
- 积分:1
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PhotonicCrystals
计算任意层数平板波导结构。其中slabexec为主程序,readme中有程序使用的详细说明。可以计算任意层数的平板波导结构的有效折射率,光场分布和远场分布(PhotonicCrystals )
- 2010-07-23 13:24:39下载
- 积分:1
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pearzzpdf
Pearson system probability distributions
- 2010-10-11 07:12:54下载
- 积分:1
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Pprtools317a
模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.,已通过测试。
(MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.)
- 2012-10-07 00:26:45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
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Radar
高频地波雷达的仿真程序 可能会有人需要 实用MATLAB(Simulation of High Frequency Ground Wave Radar)
- 2020-06-29 01:20:01下载
- 积分:1