DocumentCode
1663380
Title
Adaption without rule base size expansion: HOSVD based approach
Author
Baranyi, Peter ; Várkonyi-Kóczy, Annamária R. ; Yam, Yeung ; Michelberger, Pál
Author_Institution
Budapest Univ. of Technol. & Econ., Hungary
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
221
Abstract
The main objective of this paper is to propose an algorithm capable of inserting new measured information or fuzzy rules into a rule-base which is complexity minimized by higher order singular value decomposition (HOSVD) (Yam et al, 1999; Yam 1997; Yen and Wang, 1999). A numerical example is also discussed.
Keywords
computational complexity; fuzzy set theory; fuzzy systems; knowledge based systems; minimisation; singular value decomposition; HOSVD based approach; complexity minimized rule-base; fuzzy rules insertion; higher order singular value decomposition; measured information insertion; numerical analysis; rule base adaption; rule base size expansion; Approximation error; Automation; Computational efficiency; Error correction; Intelligent systems; Laboratories; Singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
ISSN
1091-5281
Print_ISBN
0-7803-7218-2
Type
conf
DOI
10.1109/IMTC.2002.1006843
Filename
1006843
Link To Document