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Papers-on-BFA

于 2011-03-16 发布 文件大小:2372KB
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说明:  细菌觅食算法的相关论文和资料,都是PDF文件,适合初学该算法人员学习(Bacterial foraging algorithm related papers and information are PDF files, suitable for beginners to learn the algorithm)

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  • Fourier
    Fourier Transforms Using Matlab 英文,清晰pdf版(Fourier Transforms Using Matlab in English, a clear pdf version)
    2010-05-06 21:26:53下载
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  • axi_master
    自己写的 AXI master code(AXI master code)
    2014-10-20 15:53:41下载
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    多进制PSK调制的matlab实现程序,能过实现M进制的psk调制(Ary PSK modulation matlab implementation program that can achieve over the psk M-ary modulation)
    2013-11-08 10:11:37下载
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  • matlab1
    Speech Recognition using Hmm model..
    2013-11-10 01:19:28下载
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  • polymal
    多项式的曲线拟合,使用MATHCAD实现(Polynomial curve fitting using MATHCAD achieve)
    2013-04-03 09:49:03下载
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  • ICA
    独立成分分析(Independent Component Analysis,ICA)是近年来提出的非常有效的数据分析工具,它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。(Independent component analysis (ICA) is proposed in recent years very effective tool for data analysis. It is mainly used to extract the original signal of independence the mixed data. It is a effective method to signal separation has been widely concerned. )
    2016-04-18 22:46:06下载
    积分:1
  • svpwm222
    MATLAB中SVPWM空间电压矢量模块的m语言实现(MATLAB in the space voltage vector SVPWM module m language implementation)
    2009-02-26 11:25:06下载
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  • imageprocessingTechiques
    Basic image processing techniques like some filters for image enhancement, histogram equilization etc
    2010-01-25 12:21:20下载
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  • ch8example1prog1
    说明:  F分布的参数 随机数样本数量 随机数样本产生(F distribution parameters of random samples of a few number of samples generated random number)
    2010-03-22 11:04:06下载
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  • PsoProcess
    粒子群算法OptSwarm记录每个粒子的历史最优解(粒子历史最好的适应度)以及全部粒子搜索到的全局最优解。用Wg代表全局最优解,W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同,而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )
    2012-03-21 16:56:36下载
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