Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control
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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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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.
| Publication Type: | Conference Paper |
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| Murdoch Affiliation: | School of Information Technology |
| Publisher: | IEEE |
| Copyright: | © 2004 IEEE |
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| URI: | http://researchrepository.murdoch.edu.au/id/eprint/951 |
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