| 流域产流产沙BP网络预报模型的初步研究 |
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| 引用本文： | 张小峰,许全喜,裴莹.流域产流产沙BP网络预报模型的初步研究[J].水科学进展,2001,12(1):17-22. |
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| 作者姓名： | 张小峰 许全喜 裴莹 |
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| 作者单位： | 1.武汉大学水利水电学院, 湖北武汉430072; |
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| 基金项目： | 教育部留学回国人员科研启动基金资助项目. |
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| 摘 要： | 运用BP神经网络模型的基本原理,以流域降水条件为基本因子,建立了流域产流产沙BP网络预报模型.该模型能用于定量分析流域人类活动因素对流域产流产沙的影响.西汉水、大通江、香溪河流域资料验证表明,模型基本合理、可靠.
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| 关 键 词： | 非线性映射 流域产流产沙 BP网络预报模型 |
| 文章编号： | 1001-6791(2001)01-0017-06 |
| 收稿时间： | 1999-09-21 |
| 修稿时间： | 1999年9月21日 |
Preliminary Research on
the BP Networks Foreasting Model of Watershed Runoff and Sediment Yielding |
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| ZHANG Xiao-feng,XU Quan-xi,PEI Ying.Preliminary Research on
the BP Networks Foreasting Model of Watershed Runoff and Sediment Yielding[J].Advances in Water Science,2001,12(1):17-22. |
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| Authors: | ZHANG Xiao-feng XU Quan-xi PEI Ying |
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| Institution: | 1.College of Water Resources and Hydropower, Wuhan University, Wuhan 430072, China;2.Bureau of Hydrology of Yangtze River Water Resources Commission, Wuhan 430010, China;3.Bureau of Hydrology, Ministry of Water Resources, Beijing 100053, China |
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| Abstract: | In this paper，considering the radical principle of neuralnetworks and acting rainfall condition as the main affecting factors，a back propagation (BP) networks model of watershed runoff and sediment yielding is discussed．The model has satisfactory learning and generalization performance，and it may be used to value the human-action influence on runoff and sediment yielding in a watershed．The results identified by Xihanshui， Datongjiang and Xiangcihe basins’s observed data indicate that the model are satisfactory． |
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| Keywords: | non-linear maping watershed runoff and sediment yielding BP networks forecasting model |
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