Improving streamflow forecast using optimal rain gauge network-based input to artificial neural network models
Download
Full text for this resource is not available from the Research Repository.
Export
Adhikary, Sajal Kumar, Muttil, Nitin ORCID: 0000-0001-7758-8365 and Yilmaz, AG (2018) Improving streamflow forecast using optimal rain gauge network-based input to artificial neural network models. Hydrology Research, 49 (5). pp. 1559-1577. ISSN 1998-9563
Abstract
© IWA Publishing 2018
Dimensions Badge
Altmetric Badge
Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/38353 |
DOI | 10.2166/nh.2017.108 |
Official URL | https://iwaponline.com/hr/article-abstract/49/5/15... |
Subjects | Historical > FOR Classification > 0905 Civil Engineering Current > Division/Research > College of Science and Engineering |
Keywords | artificial neural network (ANN) model; Yarra River catchment; Victoria; Australia; water resources system |
Citations in Scopus | 7 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)