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3
说明: 遗传算法 多目标规划 GA matlabb(Genetic algorithm for multi-objective planning)
- 2013-02-03 18:52:57下载
- 积分:1
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neural
MATLAB发多少个地方上工地地方给定复旦给对方个地方个 地方 个(MATLAB hair on the site where the number of places given to the other places Fudan places a)
- 2014-12-02 10:48:10下载
- 积分:1
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35MatlabGUIcodes
matlab用户界面GUI设计代码,包括句柄操作,右键菜单等功能(matlab code for user interface GUI design, including the handle operations, right-click menu functions)
- 2011-12-13 18:41:56下载
- 积分:1
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UPL17180_19
UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION
- 2013-12-12 18:13:45下载
- 积分:1
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myVAD
calculate a voice detection.also one can calculate the frequency of his/her voice.
- 2009-11-17 00:16:38下载
- 积分:1
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ft2
FT2 M-file for ft2.fig FT2, by itself, creates a new FT2 or raises the existingsingleton.
- 2012-04-02 18:30:32下载
- 积分:1
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detection_CLOSE_Compare_OPEN
apf的谐波检测 利用瞬时无功理论搭建开环和闭环检测环节的simulink仿真(Simulink simulation of harmonic detection of APF theory to build the open-loop and closed-loop detection process using instantaneous reactive power)
- 2014-11-26 10:20:45下载
- 积分:1
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cjx
有关同步电机的matlab仿真,非常有用
(Synchronous motor matlab simulation, very useful)
- 2013-04-20 16:51:42下载
- 积分:1
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NSGA
说明: 多目标遗传算法是NSGA-II[1](改进的非支配排序算法),该遗传算法相比于其它的多目标遗传算法有如下优点:传统的非支配排序算法的复杂度为 ,而NSGA-II的复杂度为 ,其中M为目标函数的个数,N为种群中的个体数。引进精英策略,保证某些优良的种群个体在进化过程中不会被丢弃,从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子,不但克服了NSGA中需要人为指定共享参数的缺陷,而且将其作为种群中个体间的比较标准,使得准Pareto域中的个体能均匀地扩展到整个Pareto域,保证了种群的多样性。(消除了共享参数)。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)
- 2020-02-13 19:30:43下载
- 积分:1
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10
说明: matlab 运动模糊的滤波器 运动模糊的图像加上噪声(matlab matlab matlab matlab)
- 2010-04-24 09:03:29下载
- 积分:1