Warianty tytułu
Języki publikacji
Abstrakty
The article presents the use of multiple regression method to identify added wave resistance. Added wave resistance was expressed in the form of a four-state nominal function of: "thrust", "zero", "minor" and "major" resistance values. Three regression models were developed for this purpose: a regression model with linear variables, nonlinear variables and a large number of nonlinear variables. The nonlinear models were developed using the author's algorithm based on heuristic techniques. The three models were compared with a model based on an artificial neural network. This study shows that non-linear equations developed through a multiple linear regression method using the author's algorithm are relatively accurate, and in some respects, are more effective than artificial neural networks. (original abstract)
Rocznik
Tom
Strony
197--204
Opis fizyczny
Twórcy
autor
- Maritime University of Szczecin
Bibliografia
- Arribas, FP. (2007). Some methods to obtain the added resistance of a ship advancing in waves. Ocean Engineering, 34 (2007), pp. 946-955.
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- Duan, WY, Li, CQ. (2013). Estimation of Added Resistance for Large Blunt Ship in Waves. JOURNAL OF MARINE SCIENCE AND APPLICATION, Volume: 12 Issue: 1, pp: 1-12, DOI: 10.1007/s11804-013-1177-6.
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- Hellevik, O. (2009). Linear versus logistic regression when the dependent variable is a dichotomy, International Journal of Methodology, Quality & Quantity, Volume 43, Issue 1, pp 59-74.
- Ji, ZB; Lei, N (2017) Study on Calculation Method of Added Resistance of Ships in Irregular Waves. NAVAL ENGINEERS JOURNAL. Volume: 129 Issue: 4, pp. 123-134.
- Rawson, K.J. and Tupper, E.C. (2001). Basic Ship Theory. Ship Dynamics and Design. Volume 2. Fifth edition. Butterworth-Heinemann.
- Sigmund, S, el Moctar, O. (2018). Numerical and experimental investigation of added resistance of different ship types in short and long waves. OCEAN ENGINEERING, Volume: 147, pp.: 51-67.
- Watson, D.G.M. (1998). Practical Ship Design, Volume 1, Elsevier Science.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171593495