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Cepowski Tomasz (Maritime University of Szczecin)
Identification Accuracy of Additional Wave Resistance Through a Comparison of Multiple Regression and Artificial Neural Network Methods
Multidisciplinary Aspects of Production Engineering, 2018, vol. 1, s. 197-204, rys., tab., bibliogr. 11 poz.
Regresja wielokrotna, Modele regresji, Sieci neuronowe
Multiple regression, Regression models, Neural networks
streszcz., summ.
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)
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  1. Arribas, FP. (2007). Some methods to obtain the added resistance of a ship advancing in waves. Ocean Engineering, 34 (2007), pp. 946-955.
  2. Bhattacharyya, R. (1978). Dynamics of Marine Vehicles. John Wiley & Sons Inc, 1978.
  3. Cepowski, T. (2007). Application of artificial neural networks to approximation and identification of seakeeping performance of a bulk carrier in ballast loading condition. POLISH MARITIME RESEARCH 4(54) Vol 14; pp. 31-39 DOI: 10.2478/v10012-007-0037-6.
  4. Cepowski, T. ndCurveMaster vr. 3.2 [online copy] Available from: [Accessed: 4 Apr. 2017]. Szczecin, Poland.
  5. 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.
  6. Gerritsma, J., Beukelman, W. (1972). Analysis of the Resistance Increase in Waves of a Fast Cargoship. International Shipbuilding Progress, No 18(217).
  7. 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.
  8. 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.
  9. Rawson, K.J. and Tupper, E.C. (2001). Basic Ship Theory. Ship Dynamics and Design. Volume 2. Fifth edition. Butterworth-Heinemann.
  10. 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.
  11. Watson, D.G.M. (1998). Practical Ship Design, Volume 1, Elsevier Science.
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