NDLI: Measurement of fuzzy values using artificial neural networks and fuzzy arithmetic

Content Provider	IEEE Xplore Digital Library
Author	Ikonomopoulos, A. Tsoukalas, L.H. Uhrig, R.E.
Copyright Year	1993
Description	Author affiliation: Dept. of Nucl. Eng., Tennessee Univ., Knoxville, TN, USA (Ikonomopoulos, A.; Tsoukalas, L.H.; Uhrig, R.E.)
Abstract	A methodology for monitoring complex systems utilizing artificial neural networks and fuzzy arithmetic is presented. It employs the notion of a virtual measuring device, i.e., a software-based instrument for the measurement of user-specified dynamic variables with operational significance. Neural networks are utilized for mapping a set of complex, temporal input patterns to a simplified set of membership functions. The resultant membership functions are supplied to a rule-based system, which draws a conclusion about the validity of the network responses based on the statistical characteristics of the original training signals. The notion of time is explicitly incorporated into the decision-making procedure, rendering the measuring process a dynamic one. The rule-based system is supplemented by fuzzy algebraic techniques composing an optimization algorithm capable of identifying the most appropriate shape and position of the resultant membership functions in the universe of discourse. Data obtained from an experimental nuclear reactor during a start-up period are utilized to demonstrate the excellent tolerance of the methodology to noisy and faulty signals.<>
Starting Page	357
Ending Page	362
File Size	747900
Page Count	6
File Format	PDF
ISBN	0780306147
DOI	10.1109/FUZZY.1993.327436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-28
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy neural networks Artificial neural networks Fuzzy systems Knowledge based systems Arithmetic Instruments Decision making Time measurement Shape Noise shaping
Content Type	Text
Resource Type	Article

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