Empirical comparison of methods of fuzzy relational identification

Postlethwaite, Bruce (1991) Empirical comparison of methods of fuzzy relational identification. IEE Proceedings Control Theory and Applications, 138 (3). pp. 199-206.

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.

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• Item metadata

  Item type:	Article
  ID code:	25681
  Dates:	Date Event May 1991 Published
  Subjects:	Technology > Chemical engineering
  Department:	Faculty of Engineering > Chemical and Process Engineering
  Depositing user:	Dr. Bruce Postlethwaite
  Date deposited:	29 Jun 2010 08:47
  Last modified:	08 Apr 2024 18:03
  Related URLs:	Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/25681