19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007) Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria Paris, France October 29-October 31 ISBN: 0-7695-3015-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.87
Takagi-Sugeno Fuzzy Models within the framework of Orthonormal Basis Functions (OBF-TS Fuzzy Models) have shown to be an effective approach to nonlinear sys- tem identification and control due to several advantages they exhibit over those dynamic model topologies most com- monly adopted in the literature. Despite all the theoreti- cal advances and encouraging application results obtained so far, the automatic determination of the number of local OBF models remains an issue. This paper elaborates on the use of a mixture of clustering validity criteria to auto- matically determine the number of local models based on product space fuzzy clustering of I/O data.
Citation:
Jeremias B. Machado, Wagner C. Amaral, Ricardo J.G.B. Campello, "Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria," ictai, vol. 2, pp.336-339, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||