Pregled bibliografske jedinice broj: 577561
Ship Speed Prediction in Real Sea Environment Using Advanced Technologies
Ship Speed Prediction in Real Sea Environment Using Advanced Technologies // Proceedings of the 11th WSEAS International Conference on Applied Computer and Applied Computational Science (ACACOS '12) - Recent Researches in Applied Computers & Computational Science, Rovaniemi, Finland / Niola, Vincenzo ; Bojkovic, Zoran ; Garcia-Planas ; M. Isabel (ur.).
Rovaniemi, Finska: WSEAS Press, 2012. str. 17-22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 577561 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Ship Speed Prediction in Real Sea Environment Using Advanced Technologies
Autori
Antonić, Radovan ; Valčić, Marko ; Tomas, Vinko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 11th WSEAS International Conference on Applied Computer and Applied Computational Science (ACACOS '12) - Recent Researches in Applied Computers & Computational Science, Rovaniemi, Finland
/ Niola, Vincenzo ; Bojkovic, Zoran ; Garcia-Planas ; M. Isabel - : WSEAS Press, 2012, 17-22
ISBN
978-1-61804-084-8
Skup
11th WSEAS International Conference on APPLIED COMPUTER and APPLIED COMPUTATIONAL SCIENCE (ACACOS'12)
Mjesto i datum
Rovaniemi, Finska, 18.04.2012. - 20.04.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ship speed; prediction; modelling; neuro-fuzzy; ANFIS model
Sažetak
The paper presents some possibilities of practical use of advanced computing technologies applied to the prediction and modelling of ship speed in very hard and different environment conditions. The emphasis is put on two well recognized techniques, fuzzy logic and artificial neural networks. We propose here an effective method of ship speed prediction of bulk carrier ship under different external hydro meteorological disturbances (wind, waves and sea current) at open sea. The implementation of new adaptive neuro-fuzzy inference system (ANFIS) in ship speed prediction model creating have been shown in the paper. Navigational simulator Transas Marine Navy Trainer was used for collecting data needed in ship speed prediction model training and testing. The obtained results using ANFIS model point to very good prediction possibilities.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
112-1121722-3314 - Informacijsko-komunikacijske tehnologije u inteligentnim pomorskim sustavima (Tomas, Vinko, MZOS ) ( CroRIS)
250-2502209-2364 - Nove tehnologije u dijagnostici i upravljanja brodskih porivnih sustava (Komar, Ivan, MZOS ) ( CroRIS)
Ustanove:
Pomorski fakultet, Rijeka,
Pomorski fakultet, Split