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LS_SVMlab
最小二乘支持向量 MATLAB源码 有说明(The SVM can
be seen as a method of training polynomial, radial basis function,
or multilayer perception classifiers, in which the weights
of the network are found by solving a quadratic programming (QP) problem with linear inequality and equality constraints.)
- 2010-11-19 17:20:58下载
- 积分:1
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BakeryGUI
Bakery purchase app is here. Please use it as simple app
- 2014-11-29 16:16:38下载
- 积分:1
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ch6
用MATLAB实现哈夫曼编码的例程(以子函数形式给出)
NORM2HUFF 哈夫曼编码器
对于输入向量,NORM2HUFF(X) 返回向量的哈夫曼编码后的码串()
- 2007-08-29 20:00:35下载
- 积分:1
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Commercial_Airplane
Commercial Airplane for Simulation under Matlab/Simulink
- 2014-12-25 21:43:46下载
- 积分:1
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PCA
特征提取算法(pca),用于数据的特征提取。(feature extraction)
- 2013-11-22 15:37:32下载
- 积分:1
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sw01244
webserver-ssl library This is part of revision 226 of the Stellaris SSL Web Server.
- 2015-04-06 17:19:22下载
- 积分:1
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kongxinzhou
matlab机械优化设计实例课件,及一个实例源代码(matlab mechanical optimal design courseware, and an example source code)
- 2010-07-10 11:23:14下载
- 积分:1
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mod_and_dem_ask
Modulation and demodulation ASK. At the beginning, we create the digital signa (1 and 0), after we do the modulation, add noise and demodulation. At the end we do the reconstruction of the signal.
- 2010-02-10 19:10:21下载
- 积分:1
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pos
基本粒子群优化算法Matlab源程序
网上找到的别人做的很简单的程序,写的很精练很工整,据说优化效果不是很理想,由于没有时间去做很多测试,所以就先摆在这里,但愿以后能用得上。
下面是主函数的源程序,优化函数则以m文件的形式放在fitness.m里面,对不同的优化函数只要修改fitness.m就可以了通用性很强。
(Particle Swarm Optimization Algorithm Matlab source code online to find others to do the procedure is very simple, very concise writing is very neat, is said to optimize the effect is not very satisfactory, because there is no time to do a lot of testing, so I have to put in here, I hope that can use later. The following is the main function of the source, optimizing the function form of the document on Zeyi m fitness.m inside, as long as the different optimization functions can modify the fitness.m highly generic.)
- 2011-04-21 13:59:24下载
- 积分:1
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LC5-Jacksons-network-20.4
Opnet jacksons network with tutorial and model
- 2011-04-29 17:57:04下载
- 积分:1