| 基于人工神经网络的船舶操纵性能预报方法 |
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| 引用本文： | 范余明,祝伟敏.基于人工神经网络的船舶操纵性能预报方法[J].中国造船,1999(4):7-12. |
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| 作者姓名： | 范余明 祝伟敏 |
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| 作者单位： | 中国船舶及海洋工程设计研究院 |
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| 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。
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| 关 键 词： | 船舶 操纵性 回转性 人工神经网络 预报 |
PREDICTION METHOD FOR SHIP MANEUVERABILITY BASED ON ARTIFICIAL NEURAL NETWORKS |
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| FAN Sheming, ZHU Weimin, LI Zhichun.PREDICTION METHOD FOR SHIP MANEUVERABILITY BASED ON ARTIFICIAL NEURAL NETWORKS[J].Shipbuilding of China,1999(4):7-12. |
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| Authors: | FAN Sheming ZHU Weimin LI Zhichun |
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| Institution: | Marine Design and Research Institute of China |
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| Abstract: | 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. |
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| Keywords: | Ship maneuverability Turning ability Performance prediction Neural network |
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