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Genetic-algorithm-and-application
书中通过大量实例，介绍了如何利用遗传算法工具箱函数编写matlab程序，解决实际问题(Through a large number of examples in the book, introduces how to use genetic algorithm toolbox function. Write the matlab program to solve the actual problem
)
- 2013-11-12 16:30:19下载
- 积分：1
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MATLAB_Simulations_for_Radar_Systems_Design
雷达系统仿真好资料， 希望有兴趣同学下载程序，是学习雷达信号处理的(radar simulation code in matlab please download and study it)
- 2009-02-19 12:19:37下载
- 积分：1
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work
Matlab基础程序联系：成绩统计,练习switch和if else组合；抽样定理(Matlab basic function design for scord statisticing and Nyquist )
- 2009-04-29 08:21:37下载
- 积分：1
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fangbolisan
程序是matlab环境下，进行方波数字信号连续，离散,多级离散等(This procedure is the Matlab environment, the square wave digital signal continuous, discrete, multi-level discrete)
- 2012-04-17 23:55:14下载
- 积分：1
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unified
统一混沌系统的simulink文件可以自己改变参数(unified chaotic system Simulink documents themselves can change the parameters)
- 2006-11-13 18:34:40下载
- 积分：1
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part02
精通matlab6[1].5 (北航 张志涌).
??╩atlab6[1].5 (北航 张志涌).(err)
- 2007-12-28 13:02:01下载
- 积分：1
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LDA_CODE_IIEC_CQU
一个关于LDA算法合格度分类的Matlab实例。(An LDA algorithm on Matlab examples.)
- 2011-04-28 16:17:18下载
- 积分：1
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3D
说明： 三维拓扑优化基于变密度法的拓扑优化设计采用OC算法(three dimension topology optimization)
- 2012-12-23 18:47:49下载
- 积分：1
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backpropagation_class
A MLP code with backpropagation training algorithm designed for classification problems.
- 2010-11-17 06:08:55下载
- 积分：1
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bbbb
摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected
optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate
entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver-
gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective
space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis-
ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)
- 2010-01-09 13:08:12下载
- 积分：1
