Korbicz, Józef - red. ; Uciński, Dariusz - red.
This paper introduces a new classifier design method that is based on a modification of the classical Ho-Kashyap procedure. The proposed method uses the absolute error, rather than the squared error, to design a linear classifier. Additionally, easy control of the generalization ability and robustness to outliers are obtained. ; Next, an extension to a nonlinear classifier by the mixture-of-experts technique is presented. Each expert is represented by a fuzzy if-then rule in the Takagi-Sugeno-Kang form. Finally, examples are given to demonstrate the validity of the introduced method.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 13, number 2 (2003) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-10-18
2021-10-18
60
https://zbc.uz.zgora.pl/publication/65897
Nazwa wydania | Data |
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A fuzzy if-then rule-based nonlinear classifier | 2021-10-18 |
Łęski, Jacek M. Czogała, Tomasz Korbicz, Józef - red. Uciński, Dariusz - red.
Łęski, Jacek M. Rutkowska, Danuta - ed. Kacprzyk, Janusz - ed. Zadeh, Lotfi A. - ed.
Łęski, Jacek M. Triggiani, Roberto- ed. Maksimov, Vyacheslav I. - ed.
Łęski, Jacek M. Henzel, Norbert Rutkowska, Danuta - ed. Zadeh, Lotfi A. - ed.