𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Runoff forecasting by artificial neural network and conventional model

✍ Scribed by A.R. Ghumman; Yousry M. Ghazaw; A.R. Sohail; K. Watanabe


Book ID
113419054
Publisher
Elsevier
Year
2011
Tongue
English
Weight
560 KB
Volume
50
Category
Article
ISSN
1110-0168

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Integrating hydrometeorological informat
✍ Yen-Ming Chiang; Fi-John Chang πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 213 KB

The major purpose of this study is to effectively construct artificial neural networks-based multistep ahead flood forecasting by using hydrometeorological and numerical weather prediction (NWP) information. To achieve this goal, we first compare three mean areal precipitation forecasts: radar/NWP m

Rainfall-runoff modelling using artifici
✍ A. R. Senthil Kumar; K. P. Sudheer; S. K. Jain; P. K. Agarwal πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 206 KB

## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfall‐runoff modelling has suggested certain issues that are still not addressed properly. One such concern is the use of network type, as theoretical studies on a multi‐layer perceptron (MLP) with a sigmoid transfer