A1 Journal article (refereed), original research

Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection


Publication Details
Authors: Koiranen Tuomas, Virkki-Hatakka Terhi, Kraslawski Andrzej, Nyström L.
Publisher: Elsevier
Publication year: 1998
Language: English
Related Journal or Series Information: Computers and Chemical Engineering
Volume number: 22
Issue number: Supplement 1
Start page: S997
End page: S1000
ISSN: 0098-1354
eISSN: 1873-4375
JUFO-Level of this publication: 0
Open Access: Not an Open Access publication

Abstract

Adaptation is the most difficult step in case-based reasoning. There are no general methods for the modification of the retrieved cases to fit the actual design problem. The use of new, context independent technique is an important research subject. In the paper, a hybrid adaptation system is proposed. Its main components are based on fuzzy logic and neural networks. The applicability of the proposed adaptation methods is examined in preliminary design of mixing system.


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Last updated on 2017-07-09 at 12:15