| 基于BP-DS证据理论的航标状态识别模型研究 |
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| 引用本文： | 聂梓熠,蒋仲廉,初秀民,刘怀汉.基于BP-DS证据理论的航标状态识别模型研究[J].水运工程,2022(1):150-156. |
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| 作者姓名： | 聂梓熠 蒋仲廉 初秀民 刘怀汉 |
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| 作者单位： | 武汉理工大学;武汉理工大学能源与动力工程学院;长江航道局 |
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| 基金项目： | 国家重点研发计划项目（2018YFB1600400）；国家自然科学基金项目（52071250、51709220） |
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| 摘 要： | 内河航标标示了可航行水域的边界,是保障内河船舶安全航行的重要前提.面向内河航标不同故障模式,构建一种基于BP-DS证据理论的航标状态识别模型.采用两个BP神经网络分别训练航标基础属性数据与环境因素数据,计算独立的证据值;通过DS证据理论实现航标运行状态识别结果的决策融合.结果表明,基于BP-DS证据理论的航标状态识别模...
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| 关 键 词： | 航标状态 BP(反向传播)神经网络 DS(Dempster-Shafer)证据理论 决策融合 |
Research on status recognition model of aids to navigation based on BP-DS evidence theory |
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| NIE Zi-yi,JIANG Zhong-lian,CHU Xiu-min,LIU Huai-han.Research on status recognition model of aids to navigation based on BP-DS evidence theory[J].Port & Waterway Engineering,2022(1):150-156. |
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| Authors: | NIE Zi-yi JIANG Zhong-lian CHU Xiu-min LIU Huai-han |
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| Institution: | (National Engineering Research Center for Water Transport Safety,Wuhan University of Technology,Wuhan 430063,China;School of Energy and Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Changjiang Waterway Bureau,Wuhan 430010,China) |
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| Abstract: | Inland aids to navigation mark the boundaries of navigable waters and play a significant role for ensuring the safe navigation of inland ships.Considering different failure modes of aids to navigation,we propose a status recognition model based on BP-DS evidence theory,use two BP neural networks to train the basic attribute data and environmental factor data,calculate the independent evidence values,and further apply the DS evidence theory to realize the decision-making fusion of aids to navigation operation state recognition results.The results show that the accuracy of status recognition model of aids to navigation based on BP-DS evidence theory is more than 80%,which is higher than the traditional empirical threshold judgment method. |
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| Keywords: | status of aids to navigation back propagation neural network Dempster-Shafer evidence theory decision fusion |
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