Comparison of ice-affected streamflow estimates computed using artificial neural networks and multiple regression techniques

Journal of Hydrology

Volumn 349, Issue 3-4, 2008, Pages 383-396

  Chokmani, Karem ^a   Ouarda, Taha B M J ^a   Hamilton, Stuart ^b   Ghedira, M Hosni ^c   Gingras, Hugo ^a  

^a HYDRO QUÉBEC   (Canada)

^b ENVIRONMENT CANADA   (Canada)

^c City University of New York   (United States)

Author keywords

Artificial neural networks; Multiple regression; River discharge; River ice; Streamflow under ice

Indexed keywords

DISCHARGE (FLUID MECHANICS); HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS;

MULTIPLE REGRESSION; RIVER DISCHARGE; RIVER ICE; STREAMFLOW UNDER ICE;

STREAM FLOW;

DISCHARGE (FLUID MECHANICS); HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; STREAM FLOW;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; FLOW MODELING; HYDROLOGICAL MODELING; HYDROMETRY; METEOROLOGY; MULTIPLE REGRESSION; RIVER DISCHARGE; RIVER ICE; STREAMFLOW;

BRITISH COLUMBIA; CANADA; FRASER RIVER; NORTH AMERICA;

EID: 38349000857     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.11.024     Document Type: Article

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