𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neural nets for modelling rainfall-runoff transformations

✍ Scribed by M. Lorrai; G. M. Sechi

Book ID
104985348
Publisher
Springer Netherlands
Year
1995
Tongue
English
Weight
776 KB
Volume
9
Category
Article
ISSN
0920-4741

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Integrating hydrometeorological informat
Integrating hydrometeorological information for rainfall-runoff modelling by artificial neural networks
✍ 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 models using artificial
Rainfall-runoff models using artificial neural networks for ensemble streamflow prediction
✍ Dae-Il Jeong; Young-Oh Kim πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 865 KB

## Abstract Previous ensemble streamflow prediction (ESP) studies in Korea reported that modelling error significantly affects the accuracy of the ESP probabilistic winter and spring (i.e. dry season) forecasts, and thus suggested that improving the existing rainfall‐runoff model, TANK, would be cr

Rainfall-runoff modelling using artifici
Rainfall-runoff modelling using artificial neural networks: comparison of network types
✍ 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