spr.tar

采用bp对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。(Using bp for height and weight in male and female sample data, like math, like literature, like sports, design boys and girls classifiers, and calculate model prediction performance (including SE, SP, ACC and AUC).)

< 精通Windows Sockets网络开发--基于Visual C++实现>> 一书的全部源代码，包括 多线程下载程序、网络五子棋、在线考试系统等五个项目。每个项目都使用不同的socket模型开发（比如select，基于消息、事件的异步模型,重叠i/o，完成端口），对于初学socket网络编程的朋友有极大帮助、、 -" " Proficient in Windows Sockets network development- based on Visual C++ implementation " " a book full source code, including multi-threaded download, network Gobang, online examination system of five projects. Each item using a different socket model development (such as select, overlapping io, the completion of the port), socket network programming for the beginner friend of great help,,,

常用字符串hash算法，可以用于bloom算法，用于匹配(string hash alogrithm list,can be used for bloom algorithm)

说明：  SOM神经网络算法python代码，详细的表达了SOM神经网络算法的计算过程(SOM neural network algorithm python code, the detailed expression of SOM neural network algorithm calculation process)

一位网友问及IP层数据收发的方法，我在这里列出关键的几个部分。-IP layer and the data transceiver, I listed here in a few key parts.

Voice over IP (VoIP)VOIP在INTERNET的实现和VOIP技术介绍-Voice over IP (VoIP) Internet VoIP in the realization and VoIP Technology

说明：  对IEEE33节点系统进行配电网重构，利用基本粒子群迭代优化，采用前推回代计算潮流，有中文注释，是初学者必备的程序教程(Reconfiguration of the distribution network of the IEEE33 node system, using the basic particle swarm iterative optimization, using the pre-push back to the calculation of the trend, with Chinese annotations, is a must-have program for beginners)

蚁群算法是经典的优化智能算法，能找到的最短路径。(The ant colony optimization algorithm is the classic intelligent algorithm can find the shortest path.)

端口服务测试源码程序，调用API函数实现winsock测试服务器压力的模型。可以同时管理众多套接字的,加大并发连接数.并支持多核超级程技术,同时也利用了线程池技术。(Port Services test source program, call the API function winsock server stress test model. )

神经网络PID控制算法仿真实例,有很好的参考价值(Neural network PID control algorithm simulation example, has a very good reference value)