Knowledge acquisition through case-based adaptation for hydraulic power machine design
Vong C.-M.; Li Y.-P.; Wong P.-K.
2003
Conference Namethe 5th International Conference on Enterprise Information Systems
Source PublicationICEIS 2003 - Proceedings of the 5th International Conference on Enterprise Information Systems
Volume2
Pages571-574
Conference DateApril 2003
Conference PlaceFrance
Abstract

Adaptation knowledge is usually the most important and difficult stage in building a case-based intelligent system. Existing intelligent systems for hydraulic system design use production rules as its source of knowledge. However, this leads to problems of knowledge acquisition for case adaptation and knowledge base maintenance. This paper describes the application of CBR to hydraulic circuit design for production machines, which helps acquiring adaptation knowledge and solving problems by reusing this acquired knowledge (experience). A technique Case-Based Adaptation (CBA) is implemented in the adaptation stage of CBR so that adaptation becomes much easier. The details of CBA and its implementation are discussed. A prototype system has been developed to verify the usefulness of CBR in hydraulic power machine design.

KeywordCase-based Adaptation (Cba) Case-based Reasoning (Cbr) Hydraulic Power Circuit Design
URLView the original
Language英语
Fulltext Access
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Vong C.-M.,Li Y.-P.,Wong P.-K.. Knowledge acquisition through case-based adaptation for hydraulic power machine design[C],2003:571-574.
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