采用理论结合物理模型实验分析的方法，研究大型开敞式码头系泊船舶在不规则横浪作用下的船舶运动规律。
Through theoretical analysis and physical model test, the paper deals with the movement of moored ship at large open terminal under irregular transverse wave.
以某水面舰艇为研究对象，利用径向基函数神经网络算法和标况下的水池实验数据，建立了基于航速、航向角和海情自适应变化的船舶横向运动非线性参数模型。
An intelligent model for a ship's horizontal motion, which can self-adapt with navigating speed, ocean condition and course, was established based on the Radial Basis Function (RBF) neural network.
研究过程中在中国船舶科学研究中心进行了水洞模型实验和水弹道模型实验。
The model's water tunnel experiment and model trajectory experiment are made in the China Ship Science Research Center.
而利用船舶运动模型，通过仿真的方法进行实验克服了上述限制，可以在一定程度上反映船舶运动的规律，替代部分海上实验。
Instead, simulation experiments of ship motion model could overcome these disadvantages, and to a certain extent, they can reflect the ship movement rules, and replace some of the sea experiments.
而利用船舶运动模型，通过仿真的方法进行实验克服了上述限制，可以在一定程度上反映船舶运动的规律，替代部分海上实验。
Instead, simulation experiments of ship motion model could overcome these disadvantages, and to a certain extent, they can reflect the ship movement rules, and replace some of the sea experiments.
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