| 基于神经网络的平底结构砰击压力预报 |
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| 引用本文： | 陈震,肖熙.基于神经网络的平底结构砰击压力预报[J].海洋工程,2005,23(2):26-31,41. |
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| 作者姓名： | 陈震 肖熙 |
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| 作者单位： | 上海交通大学,船舶海洋与建筑工程学院,上海,200030 |
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| 摘 要： | 对利用神经网络预报平底结构入水砰击压力的方法进行了探讨。首先利用仿真软件计算各种情况下平底结构入水所产生的砰击压力，以此形成训练神经网络的数据集。其次利用数据集对三层反馈式网络进行了训练，讨论了不同隐含层节点数对该非线性系统的拟合能力，并且对梯度下降法、动量修正法和基于优化的LM算法的有效性和精度进行了比较，最后得出了适合平底结构入水砰击系统的网络结构。
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| 关 键 词： | 神经网络 平底结构 入水 砰击压力预报 |
| 文章编号： | 1005-9865(2005)02-0026-06 |
Prediction of slamming pressure on a flat-bottom structure by means of Neural Network |
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| CHEN Zhen,XIAO Xi.Prediction of slamming pressure on a flat-bottom structure by means of Neural Network[J].Ocean Engineering,2005,23(2):26-31,41. |
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| Authors: | CHEN Zhen XIAO Xi |
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| Abstract: | This paper discusses the issue about the prediction of the peak value of slamming pressure of a flat-bottom structure by means of Neural Network. At first we utilize the simulation software to calculate the slamming pressure of a flat-bottom structure entering water go as to form the data group for training the Neural Network. Then we discuss the different structure forms of the network with different node numbers, compare the precision of different study rules and thus get the reasonable network form fit for the flat-bottom structure entering water system. |
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| Keywords: | NN flat-bottom structure entering water slamming pressure prediction |
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