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DXSXSY_XT_CH2-3
大学数学实验-清华-第2章第3章习题程序(Mathematics Experiment- Tsinghua University- Chapter 2 Chapter 3 Exercise Program)
- 2011-12-02 16:47:35下载
- 积分：1
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homework_01
手动选取干涉图中的条纹，并自动追迹所选条纹的中心。(Manually fringes, and automatically track fringe Center)
- 2015-11-05 00:04:53下载
- 积分：1
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FEM-Example
This is a matlab code (m file) for using finite element method to solve PDE
- 2009-11-24 04:12:50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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1
说明： 模式识别、窗函数法高斯分布、近邻法高斯分布、Fisher线性变换(Pattern Recognition, Gaussian window function, nearest neighbor Gaussian distribution, Fisher linear transformation)
- 2010-06-23 09:52:38下载
- 积分：1
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sx004
简易教程，说明了matlab环境下simulink的部分编码例子(Easy tutorial on the part of matlab simulink environment example code)
- 2011-05-09 10:51:06下载
- 积分：1
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strapdown
LM算法的MATLAB实现。Levenberg-Marquardt算法是最优化算法中的一种。最优化是寻找使得函数值最小的参数向量。(LM algorithm in MATLAB. Levenberg-Marquardt algorithm is an optimization algorithm. Optimization is to find the minimum value makes the function parameter vector.)
- 2013-11-09 22:28:19下载
- 积分：1
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matlab_brief
Brief Training Document of Matlab
- 2014-02-06 23:58:15下载
- 积分：1
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Identifying_Round_Objects
to identify round objects depend on camera and background difference
- 2010-07-12 20:14:55下载
- 积分：1
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Hybrid2
Kalman滤波，对下落小球的跟踪，详细的程序说明
(Kalman filtering, on the whereabouts of the ball tracking, a detailed description of the procedures)
- 2007-11-14 10:33:26下载
- 积分：1
