DocumentCode
2791193
Title
Fuzzy sets and neurocomputations: knowledge representation and processing in intelligent controllers
Author
Pedrycz, Witold
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fYear
1990
fDate
5-7 Sep 1990
Firstpage
626
Abstract
The problem of knowledge representation and processing for controllers for complex systems characterized by the availability of partial information is studied. Fundamental features of intelligent control are considered, and the role of fuzzy sets and neural nets is discussed. A new controller structure in which fuzzy sets and neural nets are used together is proposed, along with details of the associated design methodology. Learning processes in the resulting neural network are also clarified. All the formulas are given in detail
Keywords
artificial intelligence; controllers; fuzzy set theory; knowledge representation; complex systems; fuzzy sets; intelligent control; intelligent controllers; knowledge representation; learning processes; neural nets; neurocomputations; Aggregates; Control systems; Design methodology; Face; Fuzzy sets; Intelligent control; Knowledge engineering; Knowledge representation; Neural networks; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location
Philadelphia, PA
ISSN
2158-9860
Print_ISBN
0-8186-2108-7
Type
conf
DOI
10.1109/ISIC.1990.128522
Filename
128522
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