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matlab开发学生成绩管理，比较有启发性。(the development of student achievement management matlab)

Calculation wc and kd on a desirable stock of stability of a contour

遗传算法原理及其MATLAB实现，有需要的就下载吧，很不错的matlab工具箱应用，很实用(MATLAB Genetic Algorithms and their realization on the need to download it, it is a good toolbox matlab application, it is practical)

可以获取Libsvm训练的model中支持向量在原始数据中的位置。(this function can get the model Libsvm training support vector in the original data.)

脑电处理中，特征提取的几个有用算法程序，包括小波熵、LZC脑电复杂度、互信息等，以上程序，我已将亲自运行，可以通过，便于大家做脑电特征提取，希望对大家有帮助(EEG processing, feature extraction algorithm several useful programs, including wavelet entropy, LZC EEG complexity, mutual information, the above procedure, I have personally run, can facilitate you to do EEG feature extraction, in the hope that everyone has to help)

二级倒立摆的非线性部分采用S函数实现，此为S函数实现的源代码(The nonlinear part of the double inverted pendulum using S functions to achieve, this is the S function, the source code)

利用sobel算子和霍夫变换求出图像的边缘，并计算图像边缘间距离，采用matlab处理(matlab)

PCM simulink matlab example

这个程序是用matlab绘画三角阵位置和三角阵列接收信号数据的功率密度函数(This program is a triangular matrix using matlab painting has been in matlab run)

人工鱼群算法，在一片水域中,鱼往往能自行或尾随其他鱼找到营养物质多的地方,因而鱼生存数目最多的地方一般就是本水域中营养物质最多的地方，人工鱼群算法就是根据这一特点,通过构造人工鱼来模仿鱼群的觅食!聚群及追尾行为,从而实现寻优，以下是鱼的几种典型行为:(1)觅食行为:一般情况下鱼在水中随机地自由游动,当发现食物时,则会向食物逐渐增多的方向快速游去。(2)聚群行为:鱼在游动过程中为了保证自身的生存和躲避危害会自然地聚集成群，鱼聚群时所遵守的规则有三条:分隔规则:尽量避免与临近伙伴过于拥挤 对准规则:尽量与临近伙伴的平均方向一致 内聚规则:尽量朝临近伙伴的中心移动。(3)追尾行为:当鱼群中的一条或几条鱼发现食物时,其临近的伙伴会尾随其快速到达食物点。特点：1)具有较快的收敛速度,可以用于解决有实时性要求的问题 2)对于一些精度要求不高的场合,可以用它快速的得到一个可行解 3)不需要问题的严格机理模型,甚至不需要问题的精确描述,这使得它的应用范围得以延伸.停止条件1) 判断连续多次所得的均方差小于语允许的误差2）判断某个区域的人工鱼群的数目达到某个比率3）联系多次所获取的值均不能超过已寻找的极值。 (Artificial fish swarm algorithm, in the midst of the waters, the fish tend to own or trailing other fish to find places with more nutrients and thus the largest number of fish survival in general is a place where most of the nutrients in the waters, artificial fish swarm algorithm is based on thisa characteristics, by constructing artificial fish to mimic fish foraging clusters and rear-end behavior, in order to achieve optimization, several typical behavior of the fish: (1) foraging behavior: the general case of fish in the water at randomthe free-swimming, swimming quickly when food is found, then the food is gradually increasing in the direction. (2) cluster behavior: the fish swimming in the process of naturally clustered, and abide by the rules when the fish cluster there are three: separate rule: try to avoid overcrowding with neighboring partners in order to ensure their own survival and to avoid harm alignment rules: as far as possible consistent with the mean direction of the)