| 基于BP神经网络的黄河下游引黄灌区引水量分析 |
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| 引用本文： | 黄国如,胡和平.基于BP神经网络的黄河下游引黄灌区引水量分析[J].灌溉排水学报,2000,19(3):20-23. |
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| 作者姓名： | 黄国如 胡和平 |
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| 作者单位： | 清华大学水利系，北京100084 |
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| 摘 要： | 介绍了神经网络的基本原理及其 BP算法 ,建立了引水量预估的人工神经网络模型。实例分析表明该方法可行、预估结果可靠 ,为引黄灌区的引水分析预估提供了具有实用价值的基本理论和实施技术。
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| 关 键 词： | BP算法 神经网络 引黄灌区 引水量分析 |
| 文章编号： | 1000-646X(1999)03-0020-04 |
| 修稿时间： | 2000年7月17日 |
Analyzing Water Diversion Demand For Irrigation Areas at LowerReach of Yellow River with BP Neural Network Techniques |
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| HUANG Guo-ru,HU He-ping.Analyzing Water Diversion Demand For Irrigation Areas at LowerReach of Yellow River with BP Neural Network Techniques[J].Journal of Irrigation and Drainage,2000,19(3):20-23. |
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| Authors: | HUANG Guo-ru HU He-ping |
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| Abstract: | Artificial neural network is a brand new modeling technique, and BP algorithm is the most commonly used method. The basic principle of neural network and BP algorithm is introduced, and an artificial neural network model for water diversion demand estimate is developed. Case study indicates that the model is feasible and reliable, and provides a basic theory and a practical technique to estimate water diversion demand for irrigation areas at lower reaches of the Yellow River. |
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| Keywords: | BP algorithm Neural network irrigation area diverted water from Yellow River water diversion demand analysis |
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