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Fuzzy neuro-computational technique and its application to modelling and control

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2 Author(s)
M. M. Gupta ; Coll. of Eng., Saskatchewan Univ., Saskatoon, Sask., Canada ; M. B. Gorzalczany

The authors present a model building technique which combines the strength of the fuzzy set theory and the neural network based structures. This technique can simultaneously deal with two types of knowledge, a nonfuzzy one and a fuzzy one, which usually describe the behavior of complex processes. The proposed method can also be directly applied to the construction of a new type of intelligent fuzzy controller. Some aspects of the adequacy of this fuzzy neuro-computational model are also discussed. A numerical example is provided

Published in:

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Date of Conference:

18-21 Nov 1991