- Tytuł:
- Application of artificial neural networks to approximation and identification of sea-keeping performance of a bulk carrier in ballast loading condition
- Autorzy:
- Cepowski, T.
- Powiązania:
- https://bibliotekanauki.pl/articles/260356.pdf
- Data publikacji:
- 2007
- Wydawca:
- Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
- Tematy:
-
ship
ship sea keeping qualities
artificial neural networks
slamming
additional wave generated resistance
internal forces
bending moments
wave parameters
approximation
identification
assessment - Opis:
- This paper presents an application of artificial neural networks to approximation and identification of additional wave-generated resistance, slamming and internal forces depending on ship motion and wave parameters. The analysis was performed for a typical bulk carrier in ballast loading conditions. The investigations were carried out on the basis of ship response data calculated by means of exact numerical methods. Analytical functions presented in the form of artificial neural networks were analyzed with a view of their accuracy against standard values. Possible ways of application of the artificial neural networks were examined from the point of view of accuracy of approximation and identification of the assumed ship response parameters.
- Źródło:
-
Polish Maritime Research; 2007, 4; 31-39
1233-2585 - Pojawia się w:
- Polish Maritime Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł