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6114454422007491956407205706
boosting 一种新型的分类算法 程序(boosting a new type of classification algorithm procedure)
- 2007-09-21 19:21:08下载
- 积分：1
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LMS_newchannel
说明： 用LMS算法实现自适应均衡器的MATLAB程序(LMS algorithm with adaptive equalizer for MATLAB program)
- 2010-04-12 14:58:34下载
- 积分：1
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exhaust_pressure
It is great model of one part of engine diesel model. This particular file contains model of exhaust manifold.
- 2011-05-10 20:08:35下载
- 积分：1
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channel-coding
无线通信中信道编码的内容，这信道编码的源程序，这是对应教材的源代码(Wireless communication channel coding content, which channel coding of the source, which is the source code corresponding textbook)
- 2014-08-07 08:15:15下载
- 积分：1
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Matlab-filtering3
matlab数字滤波，针对陀螺输出信号进行数字滤波(Matlab digital filtering, in view of the gyro output signal digital filter)
- 2013-10-30 19:29:35下载
- 积分：1
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ins-navigation-toolbox
基于matlab的INS惯性导航的工具箱(INS inertial navigation based on the matlab toolbox)
- 2011-08-25 14:16:56下载
- 积分：1
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tools-to-fit-the-data-package
应用matlab对数据进行拟合的工具包，可运行，方便易懂(Application matlab right tools to fit the data package, you can run, convenient and easy to understand)
- 2012-07-31 21:38:07下载
- 积分：1
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optimization-matlab
最优化方法及其Matlab程序设计2009马昌凤(Optimization method and Matlab programming 2009 Convergent Descend)
- 2012-04-08 10:17:41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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Simple-Clustering
Clustering i one of the big important thing in data mining,we can do the best Clustering by using population-based algorithms such as imperialism competition Optimization
- 2012-12-31 05:37:10下载
- 积分：1
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