Improving extreme hydrologic events forecasting using a new criterion for artificial neural network selection

Hydrological Processes

Volumn 15, Issue 8, 2001, Pages 1533-1536

  Coulibaly, Paulin ^a   Bobee, Bernard ^b   Anctil, Francois ^b  

^a HYDRO QUÉBEC   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

Artificial neural networks; Extreme hydrologic events; Forecast

Indexed keywords

ERRORS; FORECASTING; NEURAL NETWORKS; STATISTICAL METHODS;

ARTIFICIAL NEURAL NETWORKS (ANN);

HYDROLOGY;

EXTREME EVENT; NEURAL NETWORK; STREAMFLOW;

ARTIFICIAL NEURAL NETWORK; EXTREME EVENT; HYDROLOGICAL MODELING; LOW FLOW; PEAK FLOW;

EID: 0035876630     PISSN: 08856087     EISSN: None     Source Type: Journal    
DOI: 10.1002/hyp.445     Document Type: Article

References (13)

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8. River flow forecasting through conceptual models, part I - A discussion of principles
9. A non-linear rainfall-runoff model using an artificial neural network
10. River stage forecasting using artificial neural networks
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12. Modular neural networks for watershed runoff
13. Short-term streamflow forecasting using artificial neural networks