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从网页中提取内容，取出各种标记，只保留文本内容，生成文本文件。-Extracted from the web site content, remove all kinds of tags, only the text to generate a text file.

最新FLASH9的AS3语法，对于学FLASH程序的朋友非常重要。配合FLASH9的编辑环境，即可写出你最优秀的FLASH程序。-Card grammar, FLASH procedures for school friends is very important. FLASH9 with the editorial environment, you can write the best FLASH procedures.

dkink 的 俄罗斯方块，非常简洁，很适合新手学习。-Russian dkink box, very simple, very suitable for novices to learn.

地 税 发 票 系 统5.1( delphi 版 本)-地税发票系统

阳光不锈V8物业收费管理系统 V1.0,大家看看,可能会有帮助-sunshine Stainless V8 property management system V1.0, we see that may be helpful

通过A51程序，学习者可以了解车辆控制器局域网（controller area network，can）的消息传输，有助于can总线传输概念的建立。

一个用C语言编写的黑白棋对战程序，绝对的正确，我自己调试过的，能成功-a C language prepared by the procedures reversi war, absolutely correct, I own debugging off and success

Jbuilder实现的一个三维动画演示系统！已经通过调试演示！-Jbuilder achieve a 3D animation demonstration system! Has been demonstrated through testing!

EcHmi(Easy Control Human-Machine Interaction )是一个通用的工控软件人机介面组态软件。作者十多年从事工控行业软件的开发，深知工控组态软件的可靠性、易用性、灵活性的重要性。随着应用需求和技术的发展，一个典型的工控软件包括RTDB、HDB、HMI、REPORT、WEB五大部分，我们不可能将每一部分都做到国外产品如iFix的水平，为何不选取其中一部分作为重点把它做好呢？EcHmi从HMI入手，从2001年的1.0版开始，到目前的8.1版，历经5年时间，通过不断的应用、改进，相信能给您带来惊喜。-EcHmi (Easy Control Human-Machine Intera ction) is a generic industrial control software configuration man-machine interface software. Author of more than 10 years engaged in the industrial development of the software industry, well aware Configuration software reliability, ease of use, the importance of flexibility. With the application demands and technological development, a typical industrial control software including RTDB, mule, HMI, REPORT, WEB five majority, it is impossible for us to do each and every part of foreign products, such as the iFix level, Why not selected as a key part of it better? EcHmi HMI from the start, from the 2001 version 1.0, the current version 8.1. After five years, through continuous use,

机器学习的中文版本，作者Tom M. Mitchell。这本教材的目标是展现机器学习中核心的算法和理论。机器学习从很多学科吸收了成果和概念，包括统计学、人工智能、哲学、信息论、生物学、认知科学、计算复杂性和控制论等。-Machine learning of the Chinese version, the author Tom M. Mitchell. The teaching objective is to demonstrate the core of machine learning algorithms and theory. Machine learning from many disciplines to absorb the results and concepts, including statistics, artificial intelligence, philosophy, information theory, biology, cognitive science, computational complexity and control theory.