Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control

Author

Wong, Kok Wai ; Ong, Yew Soon ; Eren, Halit ; Fung, Chun Che

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore

Volume

7

fYear

2004

fDate

26-29 Aug. 2004

Firstpage

4188

Abstract

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.

Keywords

fuzzy control; fuzzy set theory; fuzzy systems; human computer interaction; mineral processing industry; optimisation; parameter estimation; process control; fuzzy parameters; fuzzy rules; human-computer interaction; hybrid fuzzy modelling; hybrid fuzzy system; hydrocyclone control system; hydrocyclone parameter estimation; memetic algorithm; mineral processing industry; optimization; Channel hot electron injection; Control systems; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Information technology; Parameter estimation; Shape; Slurries; Solids;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on

Print_ISBN

0-7803-8403-2

Type

conf

DOI

10.1109/ICMLC.2004.1384574

Filename

1384574