基于神经网络的船舶操纵运动水动力预报

Hydrodynamics Prediction of Ship Maneuverability Using Neural Networks

以散货船和油船为例 ,采用神经网络方法 ,利用 matlab语言 ,完成船舶操纵运动的水动力预报 .研究结果表明 ,只要选择适当的学习样本、网络结构和学习算法 ,神经网络的水动力预报精度在实际中可以接受 .

In this paper,taking bulk carries and oil tankers as examples,using neural network method and matlab language, hydrodynamics prediction of ship maneuverability is studied.It is verified that the prediction accuracy is acceptable in practice if learning samples,network's structure and learning algorithm are reasonable.