DocumentCode :
3718267
Title :
Ship resistance prediction with Artificial Neural Networks
Author :
K. Grabowska;P. Szczuko
Author_Institution :
Faculty of Electronics, Telecommunications, and Informatics, Gdan?k University of Technology, Narutowicza 11/12, PL80233, POLAND
fYear :
2015
Firstpage :
168
Lastpage :
173
Abstract :
The paper is dedicated to a new method of ship´s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes parameters of 7 already built off-shore vessels, with model parameters available as a result of tests conducted on European towing tanks. Thus, the reference is used to assess ship resistance prediction with the artificial neural network approach.
Keywords :
"Resistance","Training","Europe","Classification algorithms","Marine vehicles"
Publisher :
ieee
Conference_Titel :
Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2015
ISSN :
2326-0262
Electronic_ISBN :
2326-0319
Type :
conf
DOI :
10.1109/SPA.2015.7365154
Filename :
7365154
Link To Document :
بازگشت