Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control
Wong, K.W., Ong, Y.S., Eren, H. and Fung, C.C. (2004) Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control. In: 2004 International Conference on Machine Learning and Cybernetics, 26-29 Aug. 2004, Shanghai.
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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.
|Publication Type:||Conference Paper|
|Murdoch Affiliation:||School of Information Technology|
|Copyright:||© 2004 IEEE|
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