Artificial intelligence in engineering

被引：102

作者：

Pham, DT ^{[1
]}

Pham, PTN ^{[1
]}

机构：

[1] Univ Wales, Sch Engn, Syst Engn Div, Knowledge Based Mfg Ctr, Cardiff CF2 3TE, S Glam, Wales

来源：

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE | 1999年 / 39卷 / 06期

关键词：

ERDF; expert systems; fuzzy logic; genetic algorithms; inductive learning; knowledge-based manufacturing centre; neural networks;

D O I：

10.1016/S0890-6955(98)00076-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper reviews five artificial intelligence tools that are most applicable to engineering problems: knowledge-based systems, fuzzy logic, inductive learning, neural networks and genetic algorithms. Each of these tools will be outlined in the paper together with examples of their use in different branches of engineering. The paper concludes by describing some of the engineering applications at the Cardiff Knowledge-based Manufacturing Centre. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：937 / 949

页数：13