DocumentCode
1491346
Title
Empirical comparison of methods of fuzzy relational identification
Author
Postlethwaite, B.
Author_Institution
Dept. of Chem. Eng., Strathclyde Univ., Glasgow, UK
Volume
138
Issue
3
fYear
1991
fDate
5/1/1991 12:00:00 AM
Firstpage
199
Lastpage
206
Abstract
A number of methods have been proposed for the identification and self learning of relational fuzzy models. The paper compares some of the methods and looks at their tolerance to noise and to the choice of initial fuzzy ranges. Data from runs of a simulated fed-batch fermenter are used as a test case. The results show that identified relational models can give as good results as rule-based models and can be made to be very tolerant of noise in the identification data
Keywords
fermentation; fuzzy set theory; identification; learning systems; empirical comparison; fuzzy relational identification; initial fuzzy ranges; relational fuzzy models; self learning; simulated fed-batch fermenter; tolerance;
fLanguage
English
Journal_Title
Control Theory and Applications, IEE Proceedings D
Publisher
iet
ISSN
0143-7054
Type
jour
Filename
75468
Link To Document