NDLI: Modeling complex systems with neural network generated fuzzy reasoning

Content Provider	IEEE Xplore Digital Library
Author	Ikonomopoulos, A. Uhrig, R.E. Tsoukalas, L.H.
Copyright Year	1993
Description	Author affiliation: Dept. of Nucl. Eng., Tennesse Univ., Knoxville, TN, USA (Ikonomopoulos, A.; Uhrig, R.E.; Tsoukalas, L.H.)
Abstract	A novel methodology is presented for the purpose of modeling complex systems through the utilization of artificial neural networks (ANNs) as linguistic value generators. Complexity is considered as a function of the distinct ways one may interact with a system and the number of separate modes required to describe these interactions. In the present approach ANN's are employed in the framework of the anticipatory paradigm. In an anticipatory system a decision is taken based not only on the current condition of the system; but also on an estimate of what the system may be doing in the near future. The prediction agency is a model of the system and/or its environment which is internal to the system. A library of ANNs is used to provide the predictive models required for computing fuzzy values. The fuzzy values describe the system behavior in a manner suitable for decision making purposes in a fuzzy environment. The methodology is demonstrated utilizing actual data obtained during a start-up period of an experimental nuclear reactor.
Starting Page	415
Ending Page	420
File Size	757546
Page Count	6
File Format	PDF
ISBN	0780312171
DOI	10.1109/ANN.1993.264312
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-04-19
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Fuzzy reasoning Control systems Nuclear power generation Artificial neural networks Fuzzy systems Accidents Current measurement Predictive models Mathematical model
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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