Application of statistical methods and artificial neural networks for approximating ship's roll in beam waves

• Autorzy: Cepowski T.
• Języki publikacji: EN

Abstrakty

EN

In the paper, were presented approximations of numerical calculations of ship's roll on the basis of main service parameters of the ship. This way were obtained several relationships which make it possible to approximate ship roll in regular and irregular waves by using the parameters available in the phase of voyage routing. The relationships were elaborated by means of artificial neural networks as well as linear and non-linear regression methods. A comparative analysis of the methods regarding approximation accuracy against standard data was also performed.

Słowa kluczowe

EN

ship's roll; irregular wave; approximation; neural networks; regression methods

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2005
• Tom: nr 2
• Strony: 22--28
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Cepowski T.

• Institute of Marine Navigation, Maritime University of Szczecin, Wały Chrobrego 1-2, 70-500 Szczecin, Poland

Bibliografia

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• 6. Mesbashi E., Bertram V: Empirical Design Formuale Using Artificial Neural Nets. 1st International EuroConference on Computer Applications and Information Technology in the Maritime Industries, COMPIT'2000. Potsdam. 2000
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• 8. Szelangiewicz T., Cepowski T.: Application of Artificial Neural Networks to Investigation of Ship Seakeeping Ability, Part I. Polish Maritime Research, Vol 8, No.3, September 2001
• 9. Szelangiewicz T, Cepowski T.: Application of Artificial Neural Networks to Investigation of Ship Seakeeping Ability, Part 2. Polish Maritime Research, Vol 8, No.4, December 2001
• 10. Zhou, Z., Zhou, D., Xie, N: A Seakeeping Experiment Research on Flokstra Container Ship Model. Technical Report 4 of Study on Reviewing Freeboards of ICLL 1966. China Classification Society, Shanhai Rules and Research Institute Shanhai. China. 1996