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Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control

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4 Author(s)
Kok Wai Wong ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore ; Yew Soon Ong ; Eren, H. ; Chun Che Fung

The use of a hybrid fuzzy modeling can act as a good alternative in establishing a hydrocyclone control model in estimating the hydrocyclone parameter, d50c. In most control and engineering applications, the use of fuzzy system as a way to improve the human-computer interaction has becoming popular. The main advantage of this proposed hybrid fuzzy system used for hydrocyclone control is that it only presents a small amount of fuzzy rules. It uses memetic algorithms to optimize the fuzzy parameters of the system to yield in a more accurate hydrocyclone control system.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:7 )

Date of Conference:

26-29 Aug. 2004