RS485串口通信试验(接受与发送)送)

可以实现HTTP转发/HTTP请求,如果需要做一个网页下载,那么可以使用该类,该类最大的特点是支持PROXY代理下载!(HTTP can be transmitted/HTTP request, if required to do a website, then you can use this kind, the largest such feature is support PROXY proxy to download!)

遗传算法的源程序，里面有基本的遗传算法的各种操作过程，很全面！(genetic algorithm source, there are basic genetic algorithm various operational and very comprehensive!)

自动计算上网的时间,下载看了你就知道是什么东西了,反正这在也没法给你说请楚.(Automatic calculation of time online, download saw you know what, and anyway it would not be able to tell you please Chu.)

C__功能 可以很好的 来下载 C__功能 可以很好的 来下载(C _ function can be good to download C _ function can be very good to download)

使用VB2005编写的关于winsock控件通信例程，适合新手使用(Written using VB2005 winsock control communication routines for the novice)

基于Winsock的网络编程小程序，可以实现FTP的上传和下载。(Winsock-based network programming applets, can be achieved FTP upload and download.)

一套完整的在线升级程序，只需修改配置文件即可成为自己的升级程序。(A complete set of online upgrade program, simply modify the configuration file to become their own upgrade process.)

简单的人工神经网络实现，用C语言,训练算法是BP。(C Language applied simple artificial neural network，training method is back propogation)

1. 本程序使用模拟退火算法解决TSP问题 a) 初始温度确定方法 选取任意状态为初始状态。以1为起始温度，不断升温，直到模拟所得接受概率大于90 ； b) 温度下降 温度下降系数为 0.95； c) 每一温度迭代 选取固定迭代次数 100 * n； d) 终止条件 温度下降次数到达 800，或某一温度下解不发生改变； 2. 本机运行及编译环境 win7 旗舰版 SP1 MINGW g++ 4.8.1 (Simulated Annealing Traveling Salesman Problem 1. This program uses the simulated annealing algorithm to solve TSP problem a) determining the initial temperature method Select any state to the initial state. 1 as the starting temperature, heats up, until the resulting analog acceptance probability greater than 90 b) the temperature drops Temperature drop coefficient of 0.95 c) Each iteration temperature Select a fixed number of iterations 100* n d) the termination condition The temperature drops to reach the number of 800, or at a temperature solution does not change 2. Run the machine and compiler environment win7 Ultimate SP1 MINGW g++ 4.8.1)

source code for the test of adaptive linear prediction using RLS algorithm