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运输船舶金属船体重量的神经估算
引用本文:俞铭华,徐昌文.运输船舶金属船体重量的神经估算[J].中国造船,1997(3):93-99.
作者姓名:俞铭华  徐昌文
作者单位:华东船舶工业学院(俞铭华,吴剑国),同济大学(徐昌文),沪东造船厂(杜忠仁)
摘    要:本文建立应用反向传播学习算法的多层前馈神经网络模型,对运输船舶金属船体重量进行神经估算。以散货船和油船为实例的计算结果表明,由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。

关 键 词:船舶  船体重量  神经估算

NEURAL ESTIMATION OF THE WEIGHT OF METALLIC HULL FOR TRANSPORT SHIPS
YU Minghua, WU Jianguo.NEURAL ESTIMATION OF THE WEIGHT OF METALLIC HULL FOR TRANSPORT SHIPS[J].Shipbuilding of China,1997(3):93-99.
Authors:YU Minghua  WU Jianguo
Institution:YU Minghua; WU Jianguo(East China Shipbuilding Institute)XU Changwen (Tongji University)DU Zhongren(Hudong Shipyard)
Abstract:This paper deals with the neural estimation of the weight of metallic hull for transport ships based on the multilayer feed forward neural network model trained by using the backpropagation learning algorithm. It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
Keywords:Ships  Hull weight  Neural estimation
本文献已被 CNKI 维普 等数据库收录!
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