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Pregled bibliografske jedinice broj: 955697

ANFIS based Expert systems prototype development for estimation of Urban mobility


Vidović, Krešimir; Mandžuka, Sadko; Brčić, Davor
ANFIS based Expert systems prototype development for estimation of Urban mobility // Proceedings of 60th International Symposium ELMAR-2018 / Muštra, Mario ; Grgić, Mislav ; Zovko-Cihlar, Branka ; Vitas, Dijana (ur.).
Zagreb: Faculty of Electrical Engineering and Computing, University of Zagreb, 2018. str. 47-50 doi:10.23919/ELMAR.2018.8534602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
ANFIS based Expert systems prototype development for estimation of Urban mobility

Autori
Vidović, Krešimir ; Mandžuka, Sadko ; Brčić, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 60th International Symposium ELMAR-2018 / Muštra, Mario ; Grgić, Mislav ; Zovko-Cihlar, Branka ; Vitas, Dijana - Zagreb : Faculty of Electrical Engineering and Computing, University of Zagreb, 2018, 47-50

ISBN
978-953-184-244-0

Skup
60th International Symposium ELMAR-2018

Mjesto i datum
Zadar, Hrvatska, 16-19.09.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Urban mobility estimation, indicators, index, Call Data Records, telecommunications

Sažetak
For the purpose of estimating urban mobility, an approach that uses urban mobility indicators calculated from the data subsystem from the Charging Data Records database in the public mobile telecommunications network was chosen. Calculated indicators are unified in the urban mobility index as a unique indicator of urban mobility in urban agglomeration. The urban mobility index is calculated using an expert system based on fuzzy logic, that is, the ANFIS (adaptive neuro-fuzzy inference system) method. It functions on the principle of applying conclusion methods which characterize neural networks with the goal of determining parameters of an indirect conclusion system (Fuzzy Inference System – FIS). The prototype of the system was developed by using the appropriate application environment, where the proposed methodology was implemented.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Krešimir Vidović (autor)

Avatar Url Davor Brčić (autor)

Avatar Url Sadko Mandžuka (autor)

Citiraj ovu publikaciju

Vidović, Krešimir; Mandžuka, Sadko; Brčić, Davor
ANFIS based Expert systems prototype development for estimation of Urban mobility // Proceedings of 60th International Symposium ELMAR-2018 / Muštra, Mario ; Grgić, Mislav ; Zovko-Cihlar, Branka ; Vitas, Dijana (ur.).
Zagreb: Faculty of Electrical Engineering and Computing, University of Zagreb, 2018. str. 47-50 doi:10.23919/ELMAR.2018.8534602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vidović, K., Mandžuka, S. & Brčić, D. (2018) ANFIS based Expert systems prototype development for estimation of Urban mobility. U: Muštra, M., Grgić, M., Zovko-Cihlar, B. & Vitas, D. (ur.)Proceedings of 60th International Symposium ELMAR-2018 doi:10.23919/ELMAR.2018.8534602.
@article{article, year = {2018}, pages = {47-50}, DOI = {10.23919/ELMAR.2018.8534602}, keywords = {Urban mobility estimation, indicators, index, Call Data Records, telecommunications}, doi = {10.23919/ELMAR.2018.8534602}, isbn = {978-953-184-244-0}, title = {ANFIS based Expert systems prototype development for estimation of Urban mobility}, keyword = {Urban mobility estimation, indicators, index, Call Data Records, telecommunications}, publisher = {Faculty of Electrical Engineering and Computing, University of Zagreb}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


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