Crisp and Fuzzy Classifiers in the Two-Phase Gas-Liquid Flow Diagnostics

• Autorzy: Fiderek P. , Jaworski T. , Banasiak R. , Kucharski J.
• Języki publikacji: EN

Abstrakty

EN

The following paper presents results of common clustering algorithms use, both crisp and fuzzy, for flow pattern recognition of two-phase gas-liquid flows observed in horizontal pipeline. Obtained results of HCM, FCM, and kNN clustering algorithms were presented in a form of confusion matrix and compared via its prediction performance.

Słowa kluczowe

EN

horizontal pipeline; HCM; FCM; k-NN algorithm

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2012
• Tom: Vol. 17, no. 4
• Strony: 385--394
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Fiderek P.

• Lodz University of Technology, Lodz, Poland

autor

Jaworski T.

• Lodz University of Technology, Lodz, Poland

autor

Banasiak R.

• Lodz University of Technology, Lodz, Poland

autor

Kucharski J.

• Lodz University of Technology, Lodz, Poland

Bibliografia

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