Title :
Fuzzy sets and neurocomputations: knowledge representation and processing in intelligent controllers
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
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;
Conference_Titel :
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-2108-7
DOI :
10.1109/ISIC.1990.128522
