River flow prediction using fuzzy - Neural network modeling

被引：0
|
作者：
Deka, P [1 ]
Chandramouli, V [1 ]
机构：
[1] Indian Inst Technol, Dept Civil Engn, Gauhati, India
来源：
ADVANCES IN HYDRAULICS AND WATER ENGINEERING, VOLS 1 AND 2, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The need to build and live along rivers creates the necessity for accurate calculation of water levels and flow rates. Also, it requires developing flow routing models. The models, which can be used for low flows as well as high flows through rivers, is of present day need for the civil engineers. A river flow prediction model has been developed in this study based on fuzzy-neural network approach and it gives better performance than artificial neural network model.
引用
收藏
页码：711 / 714
页数：4
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