Pregled bibliografske jedinice broj: 955697
ANFIS based Expert systems prototype development for estimation of Urban mobility
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: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2018. str. 47-50 doi:10.23919/ELMAR.2018.8534602 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 955697 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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 : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2018, 47-50
ISBN
978-953-184-244-0
Skup
60th International Symposium ELMAR-2018
Mjesto i datum
Zadar, Hrvatska, 16.09.2018. - 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:
Ericsson Nikola Tesla d.d.,
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus