Application of artificial neural networks to assessment of ship manoeuvrability qualities

• Autorzy: Abramowski T.
• Języki publikacji: EN

Abstrakty

EN

This paper presents an attempt to applying neural networks for assessment of parameters of standard manoeuvrability tests, i.e. circulation test and zig-zag test. Methodological approach to application of neural networks as well as applied network structures and neuron activation functions are generally presented. Also, results of simulations performed by means of the elaborated networks are given in comparison with test cases selected at random. In order to analyze and reveal general trends, correlation relationships between results from network simulations and test cases were calculated and are presented as well.

Słowa kluczowe

EN

neural networks; ship manoeuvrability qualities

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2008
• Tom: nr 2
• Strony: 15--21
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Abramowski T.

• Faculty of Marine Technology, Szczecin University of Technology Al. Piastów 41 71-065 Szczecin, POLAND,

Bibliografia

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• 2. Cepowski T.: Optimization of transport ship design parameters with a view of its sea-keeping qualities (in Polish), Doctor thesis, Szczecin University of Technology, Szczecin 2002
• 3. Clausen H.B., Lutzen M., Friis-Hansen A., Bjorneboe N.: Bayesian and Neural Networks for Preliminary Ship Design. Marine Technology, vol. 38, no. 4, October 2001
• 4. IMO Resolution, Standards for ship manoeuvrability. MSC.137(76), adopted on 4 December 2002
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• 7. Koushan, K.: Prediction of propeller induced pressure pulses using artificial neural networks, 1st Int. Conf. Computer Applications and Information Technology in the Maritime Industries, Potsdam 2000
• 8. Koushan K., Mesbahi E.: Empirical Prediction Methods for Rudder Forces of a Novel Integrated Propeller-Rudder System, Proc. OCEANS’98, Nice 1998
• 9. Demuth H., Beale M., Hagan M.: Matlab User’s Guide: Neural Network Toolbox 5. The MathWorks, 2007
• 10. Mesbahi E., Atlar M.: Artificial neural networks: applications in marine design and modelling, 1st Int. Conf. Computer Applications and Information Technology in the Maritime Industries, Potsdam 2000
• 11. Osowski, S.: Neural networks in algorithmic form (in Polish). Scientific Technical Publishing House (WNT), 1996
• 12. Tadeusiewicz R.: Neural networks (in Polish). Academic Publishing House (Akademicka Oficyna Wydawnicza), Warszawa 1993
• 13. Sha O.P., Ray T., Gokarn R.P.: An artificial neural network model for preliminary ship design, ICCAS 94, 8th Int. Conf. on Comp. Applications in Shipbuilding, Bremen 1994