| BP模型在降雨径流预报中的应用研究 |
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| 引用本文： | 曹广学,张世泉. BP模型在降雨径流预报中的应用研究[J]. 太原理工大学学报, 2005, 36(3): 350-353 |
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| 作者姓名： | 曹广学 张世泉 |
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| 作者单位： | 1. 太原理工大学,水利科学与工程学院,山西,太原,030024
2. 水利部,山西省水利水电勘测设计研究院,山西,太原,030024 |
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| 摘 要： | 简要介绍了人工神经网络用于洪水预报的基本原理,对降雨径流预报的网络模型进行了改进。为了避免陷于局部极小值和缩短学习时间,采用了改进的自适应BP算法进行洪水预报,开发了基于BP模型的洪水预报系统,并经过山西省文峪河水库的实测资料进行了预报,取得了令人满意的精度。
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| 关 键 词： | 人工神经网络 自适应BP算法 降雨径流预报 |
| 文章编号： | 1007-9432(2005)03-0350-04 |
| 修稿时间： | 2004-10-28 |
Study on Applying BP Model of Rainfall-Runoff Forecasting |
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| CAO Guang-xue,ZHANG Shi-quan. Study on Applying BP Model of Rainfall-Runoff Forecasting[J]. Journal of Taiyuan University of Technology, 2005, 36(3): 350-353 |
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| Authors: | CAO Guang-xue ZHANG Shi-quan |
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| Affiliation: | CAO Guang xue 1,ZHANG Shi quan 2 |
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| Abstract: | This article presents the principle of ANN briefly in the application of flood forecast and an improved network algorithm of rainfall runoff forecasting. In order to avoid getting a part least and shorten the study time, this article uses the improved self adaptive BP algorithm for flood forecasting, and exploit the system on the base of a BP algorithm in flood forecast. The achievement has been applied in the flood forecasting system of Wenyuhe Reservoir in Shanxi province, and satisfactory results were acquired. |
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| Keywords: | artificial neural networks self adaptive BP algorithm the rainfall runoff forecasting |
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