Artificial Neural Network Rainfall-Discharge Model Assessment Under Rating Curve Uncertainty and Monthly Discharge Volume Predictions

Water Resources Management

Volumn 30, Issue 9, 2016, Pages 3191-3205

  Zeroual, Ayoub ^a,b   Meddi, Mohamed ^a   Assani, Ali A ^b  

^a National School of Hydraulic Engineering of Blida   (Algeria)

^b UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

Author keywords

BaRatin; Discharge volume; Neural networks; Prediction; Rating curve; Uncertainty

Indexed keywords

BACKPROPAGATION; DISCHARGE (FLUID MECHANICS); FORECASTING; NEURAL NETWORKS; NEURONS; RATING; STREAM FLOW; TIME SERIES; UNCERTAINTY ANALYSIS;

ALGORITHM DEVELOPMENT; BARATIN; DISCHARGE VOLUME; HYDROMETRIC STATIONS; QUANTITATIVE APPROACH; RAINFALL-DISCHARGE; RATING CURVE; UNCERTAINTY;

RAIN;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DISCHARGE; NUMERICAL MODEL; RAINFALL; UNCERTAINTY ANALYSIS; WATER MANAGEMENT;

ALGER [ALGERIA]; ALGERIA; ALGIERS;

EID: 84968608491     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-016-1340-8     Document Type: Article

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