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ASVM
ASVM 工具箱，包含ASVM的核心算法的MATLAB M文件(asvm toolbox)
- 2009-06-03 21:42:40下载
- 积分：1
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Arithmetic
图论模型是数学建模中经常使用到的，此压缩包里面含有图论模型中的算法，例如floyd，Dijkstra等(Graph theory model is often used mathematical modeling to this archive which contains the algorithm in graph theory, for example, floyd, Dijkstra, etc.)
- 2011-09-07 17:15:04下载
- 积分：1
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lec1
The p erceptro n algo rithm ceases to update the para meters only when all the training
images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are
p ossible to clas sify co rrectly with a linear c la ss ifier, will the p erceptr on al gorithm find such
a classifier? Yes , it does, and it w ill co nverge to such a classifier in a finite numb er of
updates (mistakes ). We’ll sho w this in lectur e 2.
- 2013-12-02 14:35:38下载
- 积分：1
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PlotMohrsCircle
Matlab document consisting code of plotting the Mohr circles
- 2014-02-12 20:26:17下载
- 积分：1
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基于并联自适应随机共振的微弱信号检测方法
实现信号的随机共振处理,包括matlab代码的实现(introduce the procedding of signal)
- 2021-04-15 16:48:54下载
- 积分：1
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PSO
新的微粒群算法 利用matlab实现 简单(a new PSO)
- 2009-04-20 09:45:49下载
- 积分：1
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matlabbc2
说明： 该书的英文版是国外电子信息类优秀教材，国内外很多学校采用它作为教材，基本上是学习matlab的经典和权威书籍了，但是中文修正版没有（虽然是网友自己翻译的），但还不值得一看的。(The English version of the book is the best type of foreign electronic information materials, both at home and abroad, many schools use it as teaching material, is basically a classic learning matlab and authority of books, but there is no Chinese version of the amendment (although the users own translation), but also not worth a visit.)
- 2009-08-15 14:12:54下载
- 积分：1
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pic2
A code for image processing
- 2012-06-23 21:45:05下载
- 积分：1
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半监督分类算法
半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
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matlabchengxu
DRNNdecouplesystemcontrol ,CMACPID,adaptivePIDg(DRNNdecouplesystemcontrol, CMACPID, adaptivePIDg)
- 2007-12-21 08:23:12下载
- 积分：1
