基于改进BP神经网络的船舶操纵性能预报 |
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引用本文: | 赵学军,熊文海.基于改进BP神经网络的船舶操纵性能预报[J].交通部上海船舶运输科学研究所学报,2006,29(1):48-51. |
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作者姓名: | 赵学军 熊文海 |
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作者单位: | 青岛远洋船员学院,山东青岛266071 |
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摘 要: | 以某单桨大型船舶在海上的回转性能为例,探讨了应用改进的BP神经网络(Back-pmpagation Neural Network)建立船舶操纵性预报数学模型的方法,并利用matlab语言对其进行了仿真。研究结果表明,改进的BP算法有更快的收敛速度和更好的计算精度。
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关 键 词: | 船舶、舰船工程 船舶操纵 预报 BP神经网络 |
文章编号: | 1000-4696(2006)01-0048-04 |
收稿时间: | 2006-02-03 |
修稿时间: | 2006年2月3日 |
Ship Maneuverability Prediction Based on Modified BP Neural Network |
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Authors: | ZHAO Xue-jun XIONG Wen-hai |
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Affiliation: | Qingdao Ocean Shipping Mariners College, Qingdao 266071, China |
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Abstract: | Taking the turning performance of a single screw ship as example, the method for establishment of the mathematical model of ship maneuverability by using modified BP neural algorithm is investigated in the paper and its simulation is carried out with MATLAB language. The rsults of the research indicate that the modified BP networks have faster convergence speed and better prediction precision than normal BP algorithm. |
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Keywords: | ship naval engineering ship maneuverability prediction BP neural network |
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