networkLinkState

udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞udp_tcp_打洞 udp_tcp_打洞

根据SVM，基于向量机算法的入侵检测系统，依托的是KDD99数据集(According to SVM, the intrusion detection system based on vector machine algorithm relies on KD99 data set.)

智能车辆基于运动学模型建立的横向控制策略，MATLAB(Intelligent Vehicle lateral control strategy based on the kinematic model, MATLAB)

单目标遗传算法，并运用测试函数测试了其精度与收敛性。(Genetic Algorithm)

该程序为PC机与单片机通过RS-232串行口通信的PC端程序，含界面设计和串口设置-The program for the PC and MCU through the RS-232 serial port of the PC client communication procedures, including interface design and the serial port settings

说明：  浅析本机API　此文只能说是一篇笔记,是关于本机API的(This article is only a note about the API.)

采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 (Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian positive)

Foxmail为大家熟悉及常用的客户端软件，方便好用。7.X推出之后更吸引了很多的用户，但有一点非常不好用，就是过滤器的使用。本人工作中会接收很多的部门及人员的邮件，所以设置了很多的过滤器，但这样导致了了列表很长，过滤器没有查找过滤功能，使用非常不方便。 该代码为100 原生开发，分析了Foxmail 7.x的几个重要文件，列出了过滤器名称及邮件目录设置信息。可以往下一步实现过滤器的增强功能。(Foxmail is a familiar and popular client software, easy to use. 7.X after the launch attracted a lot of users, but it is very difficult to use, that is, the use of filters. I work in a lot of departments will receive mail and personnel, so set a lot of filters, but this led to a very long list, the filter did not find the filter function, use very inconvenient. The code is 100 native development, analyzes several important documents Foxmail 7.x, and lists the names and e-mail directory filter settings. The next step may be to achieve enhancement filter.)

TCP 发送模块 一点小代码`````` 仅仅当做参考(TCP Send Module)

基于tensorflow的alexnet实现，用于机器学习图片分类网络模型入门(Tensorflow based alexnet implementation for machine learning picture classification network model introduction)