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ga的一个仿真例子程序，还不错，用起来效果比较好，需要自己根据项目情况写适应度函数(ga a simulation example of the procedure, but also good to use effect is better, the basis of project information required to write their own fitness function)

Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data

it is a power point presentation regarding capacity and analysis Multi input multi output system

说明：  本程序实现已知序列绘制其及傅立叶变换的图(the program known sequence mapping and Fourier transform their plans. .)

本文是基于MATLAB的具有时延和丢包的网络控制系统的补偿控制分析研究(Predictive Control of Network Control System w ith Network Delay and Data PacketDropout)

Matlab Program that plots the rootlocus of given transfer functions

自写较为完善的STBC空时分组编码的MATLAB源代码，包括G2(Alamouti),G3(码率1/2),G4(码率1/2),H3(码率3/4),H4(码率3/4)的五种正交编码矩阵，调制方式有BPSK、QPSK、8PSK、16QAM，得出了仿真值的误比特率BER曲线，连带给出了所有调制方式和编码矩阵的理论误比特率BER曲线。(This is a matlab code for stbc,including five kinds of coding matrix: G2(Alamouti),G3(rate 1/2),G4(rate 1/2),H3(rate 3/4),H4(rate 3/4) and many kinds of modulation,such as BPSK,QPSK,8PSK,16QAM etc.I present all the simulative BER figures and theory BER figure.enjoy:))

遗传算法中的简单遗传算法，用matlab实现。(genetic algorithm simple genetic algorithm, using Matlab to achieve.)

The system is fully preemptible when this function is called. The kernel does no processing, but it passes all parameters directly to the function supplied by you. （当这个函数被调用的时候系统完全可能被抢占，内核没有处理，直接传递参数到你提供的函数。这个我觉得说的很别扭，估计是直接传递参数到OEMIoControl ）(The system is fully preemptible when this function is called The the kernel does no processing, but it passes are all the parameters directly to the function are supplied by you (When this function is called when the system is entirely possible to seize the kernel did not deal directly pass parameters to the function you provide. I think that is very awkward, and is estimated to pass parameters directly to OEMIoControl))

K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点(K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each)