Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes

Journal of Hydroinformatics

Volumn 16, Issue 3, 2014, Pages 671-689

  Karran, Daniel J ^a   Morin, Efrat ^b   Adamowski, Jan ^a  

^a MCGILL UNIVERSITY   (Canada)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

Artificial neural networks; Climate regime; Forecasting; Streamflow; Support vector regression; Times series analysis

Indexed keywords

EID: 84901021366     PISSN: 14647141     EISSN: None     Source Type: Journal    
DOI: 10.2166/hydro.2013.042     Document Type: Article

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