| Prediction Method of Vessel Maintenance Outlay Based on the BP Neural Network |
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| 引用本文： | 郭冰冰,黎放,王威. Prediction Method of Vessel Maintenance Outlay Based on the BP Neural Network[J]. 系统工程与电子技术(英文版), 2002, 13(3) |
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| 作者姓名： | 郭冰冰 黎放 王威 |
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| 作者单位： | 1 School of Computer，Huazhong University of Science & Technology，Wuhan 430074，P. R. China; 2 Department of Management Engineering，Naval University of Engineering，Wuhan 430033，P. R. China |
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| 摘 要： | 1 .ＩＮＴＲＯＤＵＣＴＩＯＮＦｏｒｍｅｒｌｙ ,ｔｈｅｍａｎａｇｅｍｅｎｔｏｆｖｅｓｓｅｌｏｕｔｌａｙｕｓｅｄｔｏｐａｙｍｏｒｅａｔｔｅｎｔｉｏｎｔｏｔｈｅｄｅｖｅｌｏｐｍｅｎｔｏｆｖｅｓｓｅｌｅｑｕｉｐｍｅｎｔａｎｄｔｈｅｉｎｖｅｓｔｍｅｎｔｉｎｐｕｒｃｈａｓｉｎｇ ,ｂｕｔｉｇｎｏｒｅｓｏｍｅｐｒｏｂｌｅｍｓｏｆｔｈｅｏｕｔｌａｙｓｐｅｎｔｏｎｔｈｅｕｓｅ ,ｍａｉｎｔｅｎａｎｃｅ ,ｅｔｃ .ｏｆｔｈｅｅｑｕｉｐｍｅｎｔ .Ｉｎｇｅｎｅｒａｌ,ｔｈｅｔｉｍｅｏｆｕｓｉｎｇｖｅｓｓｅｌｅｑｕｉｐｍｅｎｔｉ…
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Prediction Method of Vessel Maintenance Outlay Based on the BP Neural Network |
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| Guo Bingbing ,Li Fang , Wang Wei. Prediction Method of Vessel Maintenance Outlay Based on the BP Neural Network[J]. Journal of Systems Engineering and Electronics, 2002, 13(3) |
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| Authors: | Guo Bingbing Li Fang & Wang Wei |
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| Affiliation: | 1. School of Computer, Huazhong University of Science & Technology, Wuhan 430074, P. R. China
2. Department of Management Engineering, Naval University of Engineering, Wuhan 430033, P. R. China |
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| Abstract: | With the development of technology, the performance of vessel equipment is improved, the structure is more complicated, the automation level is enhanced, the source needed by maintenance is increased and the outlay is rising day by day. For these questions, this paper analyzes the factors that affect the outlay of equipment maintenance, and describes the computational principle of the BP (back propagation) artificial neural network and its applications in the maintenance of naval ship and craft. Finally, a dynamic investment prediction model of outlay for the military equipment maintenance is designed. It is important for decreasing the entire ilfe period outlay and drawing up the maintenance plan and programming to analyze the position and action of maintenance outlay in entire life period outlay. |
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| Keywords: | BP artificial neural network Maintenance outlay Influencing factor Prediction model. |
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