Modified neuro-fuzzy TSK network and its application in electronic nose

• Autorzy: Osowski S. , Brudzewski K. , Tran-Hoai L.
• Języki publikacji: EN

Abstrakty

EN

The paper develops the modified structure of the Takagi-Sugeno-Kang neuro-fuzzy network with a theoretical basis for its adaptation. The simplified structure follows from the basic theoretical considerations concerning the way of creating the inference rules. The important point of this solution is the application of the fuzzy clustering algorithm to the input data. The efficiency of the proposed solution has been checked on the examples of regression and classification problems concerning the electronic nose.

Słowa kluczowe

EN

neuro-fuzzy TSK networks; fuzzy clusterization; regression; classification

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2013
• Tom: Vol. 61, nr 3
• Strony: 675--680
• Opis fizyczny: Bibliogr. 16 poz., wykr., rys., tab.

Twórcy

autor

Osowski S.

• Institute of Theory of Electrical Engineering, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland
• Military University of Technology, 2 S. Kaliskiego St., 00-908 Warsaw, Poland

autor

Brudzewski K.

• Institute of Theory of Electrical Engineering, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland

autor

Tran-Hoai L.

• Hanoi University of Technology, 1 Dai Co Viet Road, Hanoi, Vietnam

Bibliografia

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