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Matlab

于 2016-03-04 发布文件大小:60KB

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非线性整数规划的遗传算法Matlab程序通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Matlab genetic algorithm of nonlinear integer programming Usually, the nonlinear integer programming is a NP problem, having the index complexity if the constraint is relatively complex, the Matlab optimization toolbox and some optimization software lingo, etc, for example, are often unable to apply, even if that can be also cannot give a more satisfactory solution.This is where the problem for design optimization algorithm.Here for a genetic algorithm is applied to nonlinear integer programming programming examples, for your reference!)

文件列表：

Matlab.doc,93696,2016-02-01

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MLP
multi layer perceptron il suffit juste de fair entrer l enter et sortie désiré

2010-05-30 05:04:03下载

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filter
matlab设计低通滤波器，无限冲击响应滤波器(matlab to design a low-pass filter)

2013-02-26 13:45:46下载

积分：1
cat_mouse
这个程序是猫捉老鼠的程序，很不错，是我亲自编写的，好了不说了够20个字了(Cat catch the mouse!)

2011-05-16 21:08:27下载

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dianji
有关无刷电机的仿真程序，适合研究电机的人 (something about brushless dc motor)

2013-03-18 22:35:57下载

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3-D-FDTD-code-with-PEC-boundaries
3-Dimension FDTD代码PEC边界(3-Dimension FDTD code PEC boundary)

2013-10-31 22:40:17下载

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OS-EM.ps
another NDFT algorithm for signal processing

2009-11-18 15:17:20下载

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支持向量机用于对样本数据或函数的回归预测 svm
支持向量机用于对样本数据或函数的回归预测，此文件源码是用C#编写的可以在Matlab环境下实现(Support vector machine is used to sample data or the regression function, the file C# source code is written in the Matlab environment to achieve)

2010-11-07 09:05:38下载

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LEMS
this code correct bias field of MR images

2014-09-02 01:11:55下载

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MPPT
matlab MPPT仿真,定步长电导增量法，在matlab2011上验证可以使用(matlab mppt)

2020-12-11 17:39:17下载

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mixture_of_gaussians
Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

2010-06-29 12:18:43下载

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