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LorenzData
用作相空间重构分析的Lorenz 时间序列(Phase space reconstruction for the analysis of Lorenz time series)
- 2010-10-21 10:55:59下载
- 积分:1
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真实复杂网络邻接矩阵
说明: 复杂网络研究,真实世界网络经典示例:足球队,鲸鱼群(Complex network research, real world network classic example: football team, whale group)
- 2020-09-08 20:18:05下载
- 积分:1
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xiaobo
说明: 小波神经网络的MATLAB程序 是一个通用的matlab程序。(Wavelet Neural Network MATLAB procedure is a common procedure matlab.)
- 2008-12-03 14:18:43下载
- 积分:1
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MATLAB
matlab 编程入门书籍非常适合初学者的书籍(Programming introductory books for beginners books)
- 2012-04-17 10:09:51下载
- 积分:1
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satellite-animation
用来演示太阳、地球、月亮、卫星同时绕转的动画,体现他们之间的关系(Used to demonstrate the sun, the earth, the moon, orbiting satellites simultaneously animation, reflecting the relationship between them)
- 2015-01-07 20:56:29下载
- 积分:1
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sibuyixiang
用matlab编写的用来求解四步相移法的光栅相位的程序(This is a matlab prepared for the four-step phase shift method to solve the grating phase program)
- 2014-02-26 17:20:16下载
- 积分:1
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Codes-of-BSA-and-CSO
Chicken Swarm Optimization(CSO)鸡群优化算法,2014年提出的群智能优化算法。
Bird Swarm Algorithm(BSA)鸟群算法,2015年最新的群智能优化算法。
作为两种全新的群智能优化算法,CSO和BSA都具有简单,良好扩展性的特点,是天然的多种群算法!
http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng
有关算法信息,可在上述网站查询。
希望对大家有用!
(Attachment is a file containing two demos for the nature-inspired algorithms, Chicken Swarm Optimization (CSO) and Bird Swarm Algorithm (BSA), which are proposed in 2014 and 2015, respectively. With the merits of innate multi-swarm and self-adaptive algorithms, the two new metaheuristic algorithms may show their superiorities over some other metaheuristic algorithms.)
- 2015-06-24 12:17:45下载
- 积分:1
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l1magic-1.1
说明: 基于matlab的稀疏表示中L1范数计算源码(the codes for L1 in sparsty representation with matlab)
- 2009-08-11 09:22:54下载
- 积分:1
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Multiband_Kamath
Kamath于2002年提出的多频带谱减法 联合开发网 - pudn.com
- 2013-11-28 17:30:13下载
- 积分:1
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LMS_Algo
功能描述:用matlab语言实现LMS自适应算法
函数名:LMS_Algo
输入参数:
(1)M:滤波器的阶数
(2)N:LMS算法迭代的次数
(3)mu:自适应参数
(4)xn:LMS算法的输入序列
输出参数:
(1)系数矢量A (Function Description: The LMS adaptive algorithm matlab language function name: LMS_Algo Input parameters: (1) M: the order of filter (2) N: LMS algorithm the number of iterations (3 ) mu: adaptive parameters (4) xn: LMS algorithm for the input sequence Output parameters: (1) coefficient vector A )
- 2010-07-11 12:13:12下载
- 积分:1