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matlab.rar
基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)
- 2008-05-20 12:41:05下载
- 积分：1
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FEM-MATLAB
Finite element method introduction in matlab
- 2013-10-01 19:58:24下载
- 积分：1
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GADA
SIMULATION OF DOUBLY FED INDUCTION GENERATOR
- 2014-11-22 06:47:24下载
- 积分：1
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eigenface
基于ORL和eigenface的一个人脸识别小程序，导师布置的作业，自己用matlab简单实现了下(Based on ORL and eigenface face recognition of a small program, the mentor assignments, they used a simple realization of the next matlab)
- 2009-12-08 10:00:01下载
- 积分：1
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changguipidx
利用S函数的PID解耦控制器实现单元机组解耦控制(The use of S function decoupling PID controller to achieve decoupling control unit)
- 2009-07-12 21:16:44下载
- 积分：1
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inpaint
the code for image inpainting algorithm
- 2013-03-03 15:03:36下载
- 积分：1
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RR
说明： 进行支持向量机的非线性回归分析。支持多元的非线性回归分析。(Nonlinear regression analysis of support vector machines. Supports multivariate nonlinear regression analysis.)
- 2016-11-16 14:51:18下载
- 积分：1
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stt
STT using matlab, back groud reconstruct(STT using matlab,back groud reconstruct)
- 2010-07-26 18:25:35下载
- 积分：1
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firefly_simple
The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1]
All fireflies are unisexual, so that one firefly will be attracted to all other fireflies
Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases
If there are no fireflies brighter than a given firefly, it will move randomly.
The brightness should be associated with the objective function.
Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.
- 2014-12-24 05:08:32下载
- 积分：1
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zhichixiangliangji1
基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.(Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida)
- 2014-01-09 14:08:57下载
- 积分：1
