Daily Discharge Prediction Using Artificial Neural Networks

被引：0

作者：

Zhao Weiguo ^{[1
]}

Wang Liying ^{[1
]}

机构：

[1] Hebei Univ Engn, Coll Water Conservancy & Hydropower, Han Dan 056038, Peoples R China

来源：

APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3 | 2010年 / 29-32卷

关键词：

artificial neural networks; daily discharge prediction; forecasting system;

D O I：

10.4028/www.scientific.net/AMM.29-32.2799

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A daily discharge prediction system is developed by the Artificial Neural Networks (ANN) using real daily discharge data, ANN have great generalization ability and guarantee global minima for given training data. In the paper, with 8 years long-term daily information, the ANN can construct a very high precision daily discharge forecasting system. The experiment shows that the predicted curve well regresses the observed curve. It can be concluded that this technique can be seen as a very promising option to solve nonlinear regression.

引用

页码：2799 / 2803

页数：5

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