Conference paper
Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control
IEEE
2004 International Conference on Machine Learning and Cybernetics (Shanghai, 26/08/2004–29/08/2004)
2004
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.
Details
- Title
- Hybrid fuzzy modelling using memetic algorithm for hydrocyclone control
- Authors/Creators
- K.W. Wong (Author/Creator) - Nanyang Technological UniversityY.S. Ong (Author/Creator) - Nanyang Technological UniversityH. Eren (Author/Creator)C.C. Fung (Author/Creator)
- Conference
- 2004 International Conference on Machine Learning and Cybernetics (Shanghai, 26/08/2004–29/08/2004)
- Publisher
- IEEE
- Identifiers
- 991005544425107891
- Copyright
- © 2004 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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