Artificial intelligence in engineering

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...

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Bibliographic Details
Published inInternational journal of machine tools & manufacture Vol. 39; no. 6; pp. 937 - 949
Main Authors Pham, D.T, Pham, P.T.N
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.06.1999
Elsevier
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Control theory. Systems
ERDF
Exact sciences and technology
Expert systems
fuzzy logic
Fuzzy sets
Genetic algorithms
inductive learning
Knowledge-based Manufacturing Centre
Neural networks
Process control. Computer integrated manufacturing
inductive learning
expert systems
fuzzy logic
neural networks
genetic algorithms
Knowledge-based Manufacturing Centre
ERDF
Fuzzy logic
Statistical process control
Genetic algorithm
Process control
Expert system
Knowledge base
Review
Neural network
Artificial intelligence
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0890-6955
1879-2170
DOI:10.1016/S0890-6955(98)00076-5