Modeling nonlinear systems: an approach of boosted linguistic models

Authors:
Keun-Chang Kwak;Witold Pedrycz;Myung-Geun Chun
Affiliations:
Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada;Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada;School of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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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).