smartconfig

与ScktComp兼容的IOCP服务端组件 参考了IOCPComp组件和ScktComp组件,可以直接替换ScktComp的TServerSocket 其中的事件方法大致相同,同于本身的IOCP特性,不再提供原TServerSocket的线程阻塞选项.核心文件(ScktIocp.pas) 测试时先导入注册表文件,修改连接数,在XP下测试可连接3万个连接. 用FastMM4测试,没有发现内存泄漏,应用大规模服务还有待测试. 如发现有错误之处请更正后通知本人.(ScktComp compatible with the IOCP server components IOCPComp reference ScktComp components and components, can directly replace the ScktComp events which TServerSocket methodology is generally the same, with the IOCP on its properties, no longer blocking the original thread TServerSocket options . the core document (ScktIocp.pas) test registry file to import, modify connections in XP to connect to test the 30,000 connections. FastMM4 test used, no memory leaks, application of large-scale services have yet to be tested. If there is error, please notify me corrected.)

【实例简介】无线局域网控制器(WLC)最优配置方法.pdf

说明：  RIP 协议实现，基于Linux上实现。是xorp的开源代码，稳定可靠，容易移值(RIP protocol, based on Linux to achieve. Xorp code is open source, stable and reliable, easy to transplant)

这是一个用c++编写的，socket API 的服务器端和客户端的相互响应的简单程序.用cmd打开程序exe，输入“webserver + 端口号”，webclient方面，输入“webclient + 127.0.0.1 + 端口号5600”，则可以在客户端上显示接收到的信息。(This is a c++ written in response to a simple procedure of mutual socket API server and client' s Open Program exe, enter " webserver+ port number" , webclient, the input " webclient+ 127.0.0.1+ port number 5600 with cmd " you can display the information received on the client.)

Content Management System

说明：  通过遗传算法，使用MATLAB，实现图像的多阈值分割(Multi-Thresholding Image Segmentation Using Genetic Algorithm by MATLAB)

详细介绍了ELMAN这种神经网络的构成以及它比其他神经网络的好处，以及其应用的方法和方式(ELMAN described in detail the composition of such a neural network and its advantages over other neural networks, as well as ways and means of its application)

下载远程网络文件实例

rbf 例子代码，包括exact和approximate两类(RBFcode examples, including exact and approximate categories)

机器学习实战的源代码集合，第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection)