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2003 | 13 | 2 | 215-223
Tytuł artykułu

A fuzzy if-then rule-based nonlinear classifier

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
13
Numer
2
Strony
215-223
Opis fizyczny
Daty
wydano
2003
otrzymano
2002-05-28
poprawiono
2002-08-29
Twórcy
  • Institute of Electronics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Bibliografia
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Bibliografia
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