The decrease in ship added resistance in waves fits into both the technical and operational measures proposed by the IMO to reduce the emissions of harmful gases from ships. Namely, the added resistance in waves causes an increase in fuel consumption and the emission of harmful gases in order for the ship to maintain the design speed, especially in more severe sea states. For this reason, it is very important to estimate the added resistance in waves with sufficient accuracy in the preliminary design phase. In this paper, the possibility of applying an ANN to evaluate added resistance in waves at the different sea states that the ship will encounter during navigation is investigated. A numerical model, based on the results of hydrodynamic calculations in head waves, and ANN is developed. The model can estimate the added resistance of container ships with sufficient accuracy, based on the ship characteristics, sailing speed, and the sea state using two wave energy spectra.

中文翻译：

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用于评估集装箱船在顶波中的附加阻力的人工神经网络模型

船舶在波浪中增加阻力的减少符合 IMO 提出的减少船舶有害气体排放的技术和操作措施。即，波浪中增加的阻力会导致燃料消耗增加和有害气体排放，以便船舶保持设计航速，尤其是在更恶劣的海况下。因此，在初步设计阶段以足够的精度估计波浪中的附加阻力非常重要。在本文中，研究了应用人工神经网络来评估船舶在航行过程中遇到的不同海况下波浪中的附加阻力的可能性。一个数值模型，基于头波中的水动力计算结果，以及人工神经网络被开发出来。