AI Application Programming 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


AI Application Programming

简体网页||繁体网页
M. Tim Jones 作者
Cengage Learning
译者
2005-6-3 出版日期
496 页数
USD 59.95 价格
Paperback
丛书系列
9781584504214 图书编码

AI Application Programming 在线电子书 图书标签: AI  计算机  编程  算法  游戏开发  描述式规则系统  C   


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AI Application Programming 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

AI Application Programming 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

AI Application Programming 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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AI Application Programming 在线电子书 著者简介

M. Tim Jones has been developing software since 1986. He has published articles on embedded systems, network protocols, and artificial intelligence for Dr. Dobb's Journal, Embedded Systems Programming, and Embedded Linux Journal. In addition, he is the author of GNU/Linux Application Programming and TCP/IP Application Layer Protocols for Embedded Systems. He resides in Longmont, CO, where he works as a Senior Principal Software Engineer.


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AI Application Programming 在线电子书 图书描述

The popularity of artificial intelligence continues to grow as more and more uses are found for the technology. AI Application Programming Second Edition is completely updated to supply both the conceptual background and the real-world examples needed to begin using AI in software projects. Each technology is illustrated with a model implementation and application, and complete source code for each example is provided on the companion CD-ROM. Selected applications cover data mining, genetic algorithms, game programming, embedded rules-based engines, and the World Wide Web.

KEY FEATURES:

* Covers cutting-edge AI concepts such as neural networks, natural language processing, intelligent agents, genetic algorithms, rule-based systems, unsupervised learning algorithms, migratory software, and more

* Teaches each AI concept through a practical application, including a financial data miner, a Web spider, a networked data collector, a game program, an embedded battery charger control system, an embedded rules-based engine for log monitoring, and a fault tolerance subsystem

* Groups AI topics by conceptual subfields (machine learning, evolutionary methods, symbolic methods) for better "big picture" understanding and more focused specialization

* Provides a background in the history of AI, the distinct branches of this broad field, and the philosophical underpinnings and issues associated with these technologies

* Includes a CD-ROM (Win/Linux) with complete, fully commented source code in C for every application in the book

* Exercise sets for each chapter are located in Appendix A for use as a Textbook

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