qinghang

包括种群初始化、选择、交叉、变异各个子程序，每一部分都作为一个单独M文件。主程序是实现遗传算法网络的训练过程；测试程序可以对训练得到的网络进行结果测试(Including population initialization, selection, crossover and mutation all subroutines, each of which as a separate M-file. Main program is to achieve genetic algorithm network training process test procedures can be trained to get the results of the test network)

说明：  MFAC(Model-free Adaptive Control),this is a thesis about MFAC by ZhongShen Hou.

说明：  计算单模光纤与LED 的直接耦合效率，设计光纤透镜参数(The direct coupling efficiency of single mode fiber and LED is calculated and the parameters of optical fiber lens are designed)

本文主要利用matlab编程工具对直接序列扩频通信的捕获过程进行仿真。仿真主要基于滑动相关法的有关理论,先讨论扩频仿真中起着重要作用的m序列的生成问题,尔后讨论调制信号的产生,然后在信号的捕获中分步讨论,先对捕获的流程进行简单的仿真,再依次加入噪声和多普勒频移后进行捕获仿真(In this paper, using matlab programming tools for direct sequence spread spectrum communication capture process simulation. Simulation of the sliding correlation method is based on the theory, first discuss the simulation plays an important role in spreading the m sequence generation problem, the modulation signal generation and later discussed, and the signal captured by stepping discussion processes the captured first simple simulation, and then followed by adding noise and Doppler frequency shift after the capture simulation)

高精度的matlab求微分方程组的边值问题的bvp6 c的解算器，精度高于常用的bvp4c。(bvp6c solver for ode bvps in matlab)

基于K-eans聚类算法的图像分割方法，对学习理解K-eans聚类能提供很大的帮助。(Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster. )

全自动GM模型代码，能自动判断是否适合灰色预测，并给出残差预测模型代码(Fully automatic GM model code can automatically judge whether it is suitable for grey prediction and give residual prediction model code.)

the program is based on LMS filter algorithm,and it has been simulated,the simulation environment is matlab(the program is based on LMS filter algorith m, and it has been simulated. the simulation environment is Matlab)

利用差分法求解热传导方程，然后用matlab编程解差分方程(Heat conduction equation)

A new Particle Swarm Toolbox (A New Particle Swarm Toolbox )