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人工神经网络在水资源管理中的应用
引用本文:王金文,石琦,张勇传. 人工神经网络在水资源管理中的应用[J]. 水电自动化与大坝监测, 2002, 26(5): 4-9
作者姓名:王金文  石琦  张勇传
作者单位:华中科技大学水电与数字化工程学院,湖北省武汉市,430074
摘    要:近几年来,人工神经网络受到越来越多从事水资源研究学者的关注,成为该领域的新理论。文中的目的是想对人工神经网络在水资源管理领域的应用进行一个总结。这些应用包括特征辨识、预测与预报、函数逼近、优化计算等多个方面。文中首先对研究情况进行了一般性的回顾,然后分别对各类应用重点进行了评述,最后通过总结给出了进一步研究的建议。

关 键 词:人工神经网络 水资源管理 水文预测 水文预报
修稿时间:2002-05-04

APPLICATIONS OF ARTIFICIAL NEURAL NETWORK TO WATER RESOURCES MANAGEMENT
Wang Jinwen,Shi Qi,Zhang Yongchuan. APPLICATIONS OF ARTIFICIAL NEURAL NETWORK TO WATER RESOURCES MANAGEMENT[J]. HYDROPOWER AUTOMATION AND DAM MONITORING, 2002, 26(5): 4-9
Authors:Wang Jinwen  Shi Qi  Zhang Yongchuan
Abstract:In recent years, ANN (a new theory in water resources management) has drawn much attention of many scholars in this research field. The objective of this paper is to review the state-of-the-art of ANN applied to water resources management, including characteristic identification, hydrologic prediction and forecast, functional approximation, optimization, etc. A general overview is first presented. Each kind of application is critically reviewed. Conclusions and recommendations for future research are presented.
Keywords:artificial neural network (ANN)  water resources management  hydrologic prediction  hydrologic forecast
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