A fuzzy system with ε-insensitive learning of premises and consequences of if-then rules

• Autorzy: Jacek M. Łęski , Tomasz Czogała
• Języki publikacji: EN

Abstrakty

EN

First, a fuzzy system based on ifFirst, a fuzzy system based on if-then rules and with parametric consequences is recalled. Then, it is shown that the globalthen rules and with parametric consequences is recalled. Then, it is shown that the global and local ε-insensitive learning of the above fuzzy system may be presented as a combination of both an ε-insensitive gradient method and solving a system of linear inequalities. Examples are given of using the introduced method to design fuzzy models of real-life data. Simulation results show an improvement in the generalization ability of a fuzzy system trained by the new method compared with the traditional and other ε-insensitive learning methods.

Słowa kluczowe

EN

global and local ε-insensitive learning; extraction of fuzzy if-then rules; generalization ability; fuzzy system

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2005
• Tom: 15
• Numer: 2
• Strony: 257-273

Daty

wydano

2005

otrzymano

2004-11-06

poprawiono

2005-01-25

Twórcy

autor

Jacek M. Łęski

• Institute of Electronics, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Tomasz Czogała

• Institute of Medical Technology and Equipment, ul. Roosevelta 118A, 41-800 Zabrze, Poland

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