xml学习4

用VC++开发了一个模拟传感器网络成簇现象的程序，可以直观的观察信号的传递-use VC++

网络框架Twisted.Network.Programming.Essentials.zh-cn.chapter.2-Twisted.Network.Programming.Essentials.zh-cn.chapter.2

此源码是TMS320F2812的IO口控制源程序,运行环境是CCStudio 3.1,已调试过没问题-This source is the IO population control TMS320F2812 source, operating environment is CCStudio 3.1, has had no problem debugging

《征服Ajax+Lucene构建搜索引擎》一书的光盘源代码。-" Conquer Ajax+ Lucene to build search engine," a book, CD-ROM source code.

这里是一些关于Q学习的应用和算法，有很好的思路，可以从中举一反三，从而解决自己的问题，希望对大家能有所帮助-reinforcementlearning

在实时平台上,高斯混合模型(GMM)具有计算有效性和易于实现的优点。最大似然规则中,模型参数不 断更新,但由于爬山特征,任意的原始模型参数估计通常将导致局部最优 遗传算法(GA)适于求解复杂组合优化问 题及非线性函数优化。提出了基于说话人识别的可以解决GMM局部最优问题的GMM/GA新算法,实验结果表明, 提出的GMM/GA新算法比纯粹的GMM算法能获得更优的效果。 - In real-time platform, the Gaussian mixture model (GMM) with the calculation of the effectiveness and easy to realize benefits. Maximum likelihood rule, the model parameters are not Broken updates, but due to climbing features, any of the original model parameter estimation will usually result in local optimum genetic algorithm (GA) is suitable for solving complex combinatorial optimization question Title and non-linear function optimization. Proposed speaker recognition based on GMM can solve the problem of local optimal GMM/GA new algorithm, experimental results show that the Proposed GMM/GA new algorithm than purely GMM algorithm can get better results.

里面放了一些网页制作过程中的常用技巧 大家可以下来作为参考-inside Within the website of the production process commonly used techniques we can down as a reference

ACMICPC 南太平洋地区 2003 竞赛试题-ACMICPC South Pacific 2003 contest questions

读取文件内容并以二进制显示.rar-read the contents of the documents and binary show. Rar

关于C语言的MakeFile-on the C language MakeFile