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| 辐射沙洲潮流水道悬沙动力关系BP神经网络模拟研究 | |
| 引用本文： | 吴德安,张忍顺,李瑞杰.辐射沙洲潮流水道悬沙动力关系BP神经网络模拟研究[J].水运工程,2007(3):18-21,25. |
| 作者姓名： | 吴德安 张忍顺 李瑞杰 |
| 作者单位： | 1. 河海大学水文水资源与水利工程科学国家重点实验室,江苏,南京,210098;河海大学交通海洋学院,江苏,南京,210098 2. 南京师范大学海洋及滩涂研究所,江苏,南京,210097 3. 河海大学交通海洋学院,江苏,南京,210098 |
| 基金项目： | 国家自然科学基金;国家自然科学基金 |
| 摘 要： | 根据江苏辐射沙洲东大港水道4^#站位连续2个潮周期的流速、含沙量及水深的时序测量资料，取时序测量（计算）数据中的前21组数据为学习样本，后5组数据为检验样本，建立了该潮流水道的4种输沙BP神经网络动力模型。验证表明，运用BP神经网络模型可以建立精度较高的水体含沙量非线性动力关系，并可利用建立模型进行相应问题的预测计算。 |
| 关 键 词： | 辐射沙洲 潮流水道 悬沙 BP神经网络 模拟 |
| 文章编号： | 1002-1972（2007）03-0018-04 |
| 收稿时间： | 2006-09-29 |
| 修稿时间： | 2006-09-29 |
Research on Suspended Sediment Dynamic Relationships of Tidal Channel in Radial Sandbar Area by BP Artificial Neural Network |
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| WU De-an,ZHANG Ren-shun,LI Rui-jie.Research on Suspended Sediment Dynamic Relationships of Tidal Channel in Radial Sandbar Area by BP Artificial Neural Network[J].Port & Waterway Engineering,2007(3):18-21,25. | |
| Authors: | WU De-an ZHANG Ren-shun LI Rui-jie |
| Institution: | 1. The State Key Laboratory of Hydrology and Hydraulic Engineering, Nanjing 210098, China; 2. College of Traffic, College of Ocean, Hohai University, Nanjing 210098, China; 3. The ocean and Mudflat Institute of Nanjing Normal University, Nanjing 210097, China |
| Abstract: | Based on the field data of flow and suspended sediment at No.4 station in Dongdagang tidal channel,the Back Propagation(BP) model of artificial neural network is applied to predict sediment concentration and its transport in No.4 station.Four non-linear relationships between sediment,sediment transport and its affecting factors are discovered.The simulated and predicted results reveal that the BP model not only possesses high accuracy of fitness but also attains precise prediction as well. |
| Keywords: | radial sandbar tidal channel suspended sediment BP artificial neural network simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |