Numerical prediction of ship hydrodynamic performance at design stage using computational fluid dynamics (CFD) technique is a most important and challenging subject in the field of ship hydrodynamics.
采用计算流体动力学(CFD)技术实现在船舶设计阶段对船舶水动力性能的精确预报，是船舶水动力学学科中一个具有重大理论和实用意义的、富有挑战性的课题。
Described in this paper are the effects of the aspect ratio, the swept-back, the taper ratio and the profile of the ship rudder on its hydrodynamic performance by a test method of orthogonality.
本文用正交试验法研究了舵展弦比、前缘后掠角、梢根比和翼剖面对舵性能的影响；
Through trained, BP neural network can obtain strong nonlinear mapping ability to learn the data characteristics of the hydrodynamic performance of ship propeller as a mathematic analytic form.
BP人工神经网络模型通过训练可以具备强大的非线性映射能力，以数学解析的形式，较好地提取了海量螺旋桨水动力性能数据特征；
Through trained, BP neural network can obtain strong nonlinear mapping ability to learn the data characteristics of the hydrodynamic performance of ship propeller as a mathematic analytic form.
BP人工神经网络模型通过训练可以具备强大的非线性映射能力，以数学解析的形式，较好地提取了海量螺旋桨水动力性能数据特征；
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