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A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization Cover

A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization

International Journal of Applied Mathematics and Computer Science
Volume 22 (2012): Issue 3 (September 2012)
By: Moêz Soltani,  Abdelkader Chaari and  Fayçal Ben Hmida  
Open Access
|Sep 2012

Authors

DOI: https://doi.org/10.2478/v10006-012-0047-0 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 617 - 628
Published on: Sep 28, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Takagi–Sugeno fuzzy model,
noise clustering algorithm,
fuzzy c-regression model,
orthogonal least squares,
particle swarm optimization
Related subjects:
Mathematics,
Applied mathematics

© 2012 Moêz Soltani, Abdelkader Chaari, Fayçal Ben Hmida, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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