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Pregled bibliografske jedinice broj: 1213382

The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network

Martić, Ivana; Degiuli, Nastia; Farkas, Andrea; Carlo Giorgio Grlj
The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network // Proceedings of the 25th Symposium on Theory and Practice of Shipbuilding, In Memoriam prof. Leopold Sorta (SORTA 2022) / Degiuli, Nastia ; Martić, Ivana ; Farkas, Andrea (ur.).
Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2022. str. 5-6 (predavanje, domaća recenzija, prošireni sažetak, znanstveni)

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Naslov
The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network

Autori
Martić, Ivana ; Degiuli, Nastia ; Farkas, Andrea ; Carlo Giorgio Grlj

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
Proceedings of the 25th Symposium on Theory and Practice of Shipbuilding, In Memoriam prof. Leopold Sorta (SORTA 2022) / Degiuli, Nastia ; Martić, Ivana ; Farkas, Andrea - Zagreb : Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2022, 5-6

ISBN
978-953-7738-86-0

Skup
25th Symposium on Theory and Practice of Shipbuilding, In Memoriam prof. Leopold Sorta (SORTA 2022)

Mjesto i datum
Malinska, Hrvatska, 07.09.2022. - 10.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
Added resistance in waves ; Artificial neural network ; Container ship

Sažetak
A model based on Artificial Neural Network (ANN) that allows simple but sufficiently accurate and reliable evaluation of the ship added resistance in regular head waves is proposed for container ships. The results of added resistance in waves, obtained by performing hydrodynamic calculations based on the Boundary Integral Element Method (BIEM), are used to train and test the generalization ability of ANN.

Izvorni jezik
Engleski

Znanstvena područja
Brodogradnja



POVEZANOST RADA

Projekti:
--IP-2020-02-8568 - Održiva plovidba smanjenom brzinom za nisko-ugljično brodarstvo (STARSHIP) (Degiuli, Nastia) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Carlo Giorgio Grlj (autor)

Avatar Url Nastia Degiuli (autor)

Avatar Url Andrea Farkas (autor)

Avatar Url Ivana Martić (autor)

Citiraj ovu publikaciju:

Martić, Ivana; Degiuli, Nastia; Farkas, Andrea; Carlo Giorgio Grlj
The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network // Proceedings of the 25th Symposium on Theory and Practice of Shipbuilding, In Memoriam prof. Leopold Sorta (SORTA 2022) / Degiuli, Nastia ; Martić, Ivana ; Farkas, Andrea (ur.).
Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2022. str. 5-6 (predavanje, domaća recenzija, prošireni sažetak, znanstveni)
Martić, I., Degiuli, N., Farkas, A. & Carlo Giorgio Grlj (2022) The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network. U: Degiuli, N., Martić, I. & Farkas, A. (ur.)Proceedings of the 25th Symposium on Theory and Practice of Shipbuilding, In Memoriam prof. Leopold Sorta (SORTA 2022).
@article{article, author = {Marti\'{c}, Ivana and Degiuli, Nastia and Farkas, Andrea}, year = {2022}, pages = {5-6}, keywords = {Added resistance in waves, Artificial neural network, Container ship}, isbn = {978-953-7738-86-0}, title = {The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network}, keyword = {Added resistance in waves, Artificial neural network, Container ship}, publisher = {Fakultet strojarstva i brodogradnje Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Malinska, Hrvatska} }
@article{article, author = {Marti\'{c}, Ivana and Degiuli, Nastia and Farkas, Andrea}, year = {2022}, pages = {5-6}, keywords = {Added resistance in waves, Artificial neural network, Container ship}, isbn = {978-953-7738-86-0}, title = {The Prediction of Added Resistance in Waves at the Preliminary Design Phase of a Container Ship Based on an Artificial Neural Network}, keyword = {Added resistance in waves, Artificial neural network, Container ship}, publisher = {Fakultet strojarstva i brodogradnje Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Malinska, Hrvatska} }

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