Runoff forecasting by artificial neural network and conventional model
β 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.
π SIMILAR VOLUMES
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
## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfallβrunoff 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 multiβlayer perceptron (MLP) with a sigmoid transfer