摘要
本文以单桨肥大型船回转性能为例，探讨应用改进的ＢＰ神经网络建立船舶操纵性预报 数学模型的方法。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，该数学模 型的预报精度在工程上可以接受。
In this paper, the prediction of ship maneuverability based on an improved artificial neural network is studied, and the turning performance of single screw full form ships are taken for an example. It is verified that the prediction accuracy of this method is acceptable in engineering practice, if the learning samples, network's structure and learning algorithm are reasonable.
出处
《中国造船》
EI
CSCD
北大核心
1999年第4期7-12,共6页
Shipbuilding of China
关键词
船舶
操纵性
回转性
人工神经网络
预报
Ship maneuverability, Turning ability, Performance prediction, Neural network
