Zobrazeno 1 - 6
of 6
pro vyhledávání: '"full-scale speed power trials"'
Publikováno v:
Polish Maritime Research, Vol 27, Iss 1, Pp 70-82 (2020)
This paper investigates the use of neural networks (NNs) for the problem of assigning push boats to barge convoys in inland waterway transportation (IWT). Push boat–barge convoy assignmentsare part of the daily decision-making process done by dispa
Externí odkaz:
https://doaj.org/article/8bd7206135c2452f81653dfcf4d1b5eb
Open water speed power trials aboard CCGS Sir John Franklin are described. Measurements were made of speed, torque, thrust, rpm, motor voltage and current. Ship speeds were approximately 6-16 knots.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1674::48cff9ac48f9797e329b9976fa86816a
https://nrc-publications.canada.ca/eng/view/object/?id=00a99527-31ae-4584-8f05-ab4257602210
https://nrc-publications.canada.ca/eng/view/object/?id=00a99527-31ae-4584-8f05-ab4257602210
Publikováno v:
Polish Maritime Research, Vol 27, Iss 1, Pp 70-82 (2020)
This paper investigates the use of neural networks (NNs) for the problem of assigning push boats to barge convoys in inland waterway transportation (IWT). Push boat–barge convoy assignmentsare part of the daily decision-making process done by dispa
Autor:
Radonjić, Aleksandar N.
Publikováno v:
Универзитет у Београду
Predmet istraživanja ovog doktorskog rada je snaga na propelerskim vratilima brodova-potiskivaca. Istraživanje se zasniva na izvršenim eksperimentalnim ispitivanjima brodova-potiskivaca koji su bili u potiskivanim sklopovima tokom ispitivanja. Eks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=nardusnacion::63a78a8b9e13902856b3c093d8268d8a
https://hdl.handle.net/21.15107/rcub_nardus_6246
https://hdl.handle.net/21.15107/rcub_nardus_6246
Publikováno v:
Journal of Marine Science & Technology; Mar2015, Vol. 20 Issue 1, p64-80, 17p
Publikováno v:
Journal of Marine Science and Technology. 20:64-80
In this paper towboat shaft power was predicted using various artificial neural networks. This work is a step toward reducing errors in the prediction of towboat power as well as providing better understanding of powering characteristics by the crew