Abstract
We present a method of designing the generic linguistic model based on boosting mechanism to enhance the development process. The enhanced model is concerned with linguistic models being originally proposed by Pedrycz. Based on original linguistic model, we augment it by a bias term. Furthermore we consider the linguistic model as a weak learner and discuss the underlying mechanisms of boosting to deal with the continuous case. Finally, we demonstrate that the results obtained by the boosted linguistic model show a better performance than different design schemes for nonlinear system modeling of a pH neutralization process in a continuous stirred-tank reactor (CSTR).
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© 2005 Springer-Verlag Berlin Heidelberg
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Kwak, KC., Pedrycz, W., Chun, MG. (2005). Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_62
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DOI: https://doi.org/10.1007/11540007_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
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