The application of ANN in estimating added resistance of container ships in regular head waves (CROSBI ID 74070)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Martić, Ivana ; Degiuli, Nastia ; Farkas, Andrea ; Grlj, Carlo Giorgio
engleski
The application of ANN in estimating added resistance of container ships in regular head waves
The determination of ship added resistance in waves requires rather complex hydrodynamic calculations to ensure an acceptable accuracy of the results. A model based on Artificial Neural Network (ANN) that allows simple but sufficiently accurate and reliable evaluation of the ship added resistance in regular head waves is proposed. The basis of the developed model are the results of hydrodynamic calculations of added resistance in regular waves, obtained based on the potential flow theory, and feedforward ANN with error back propagation. Based on the analysis of different ANN structures i.e., by varying the number of neurons in the hidden layer, an adequate ANN is set. The accuracy and generalization property of ANN is evaluated based on the normalized value of the root mean square error. The developed model can estimate the added resistance of container ships with sufficient accuracy, based on the ship characteristics and sailing speed.
Added resistance in waves ; Artificial neural network ; Container ship
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Podaci o prilogu
175-182.
objavljeno
Podaci o knjizi
Sustainable Development and Innovations in Marine Technologies
Ergin, Selma ; Guedes Soares, Carlos
Abingdon: CRC Press ; A.A. Balkema Publishers
2022.
978-1-032-41618-2