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应用人工神经网络理论的船舶运动包络预报方法
引用本文:郜焕秋,谢楠,盛万安.应用人工神经网络理论的船舶运动包络预报方法[J].中国造船,1994(3).
作者姓名:郜焕秋  谢楠  盛万安
作者单位:中国船舶科学研究中心
摘    要:本文首先介绍了人工神经网络理论的基本内容以及前馈网络反向传播的训练方法,然后应用单隐含层网络作出船舶运动包络的实时预报。文中就一船舶的海上实测运动数据进行了实例计算,结果表明,本文方法的预报结果明显好于其它模型的自适应预报结果。

关 键 词:船舶运动  人工神经网络  包络  实时预报

REAL TIME PREDICTION OF ENVELOPE OF SHIP MOTION USING NEURAL NETWORK
GAO Huanqiu, XIE Nan and SHENG Wanan.REAL TIME PREDICTION OF ENVELOPE OF SHIP MOTION USING NEURAL NETWORK[J].Shipbuilding of China,1994(3).
Authors:GAO Huanqiu  XIE Nan and SHENG Wanan
Institution:China Ship Scientific Research Center
Abstract:The basic theory of neural network and the training method of back propagation for the feedforward net are described and the neuralnet with single hidden layer is used for real time prediction of the envelope of ship motions. As an example, the full scale duta of pitching motion of a ship are utilized for practical calculation. The results predicted by the neural network are obviously better than those by the other methods.
Keywords:Ship Motion  Neural network  Envelop  Real time prediction
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