| BP神经网络应用于散货船空船质量估算 |
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| 引用本文： | 罗福才,林焰,王运龙.BP神经网络应用于散货船空船质量估算[J].中国造船,2011(3). |
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| 作者姓名： | 罗福才 林焰 王运龙 |
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| 作者单位： | 大连理工大学船舶CAD工程中心;辽宁渔业船舶检验局大连高新园区检验站; |
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| 摘 要： | 以搜集的200余条散货船为样本,建立了空船质量统计回归模型和三种情况下的BP神经网络模型,并选取10条散货船对各模型进行了测试和比较。三种BP神经网络模型测试结果与实际值很接近,精度优于传统的统计回归模型,表明用BP神经网络进行空船质量估算是可行和实用的。
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| 关 键 词： | 船舶 散货船 空船质量 BP神经网络 |
Estimation on Light Weight of Bulk Cargo Ships by BP Neural Network |
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| LUO Fucai,LIN Yan,WANG Yunlong.Estimation on Light Weight of Bulk Cargo Ships by BP Neural Network[J].Shipbuilding of China,2011(3). |
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| Authors: | LUO Fucai LIN Yan WANG Yunlong |
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| Institution: | LUO Fucai1,2,LIN Yan1,WANG Yunlong1(1.Ship CAD Engineering Center of Dalian University of Technology,Dalian 116024,China,2.Register of Fishing Vessel of Dalian High-Tech Industrial Zone of Liaoning,China) |
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| Abstract: | Based on the data of more than 200 bulk cargo ships,statistical regression model and three kinds of BP neural network models are established in order to estimate light weight of ships.These models are tested through 10 bulk cargo ships and compared to each other.The results of BP neural network models are close to the data of ships and superior to statistical regression.Estimation of light weight of ships by BP neural network is feasible and practical,and can be carried out in different input conditions. |
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| Keywords: | ship bulk cargo ship light weight BP neural network |
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