Advances in ungauged streamflow prediction using artificial neural networks

Journal of Hydrology

Volumn 386, Issue 1-4, 2010, Pages 27-37

  Besaw, Lance E ^a   Rizzo, Donna M ^a   Bierman, Paul R ^a   Hackett, William R ^a  

^a UNIVERSITY OF VERMONT   (United States)

Author keywords

Artificial neural networks; Counterpropagation; Generalized regression neural network; Time series analysis; Ungauged streamflow prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BANKFULL DISCHARGE; BASIN DRAINAGE; CLIMATE DATA; COUNTER PROPAGATION; DATA SETS; DRAINAGE AREA; FEED-BACK LOOP; FLOW DATA; FLOW PREDICTION; GENERALIZED REGRESSION NEURAL NETWORKS; INPUT DATAS; LAG TIME; MODEL INPUTS; SCALING RATIO; SMALL STREAMS; STREAMFLOW PREDICTION; STREAMFLOW RECORDS; SUBBASINS; SYSTEMATIC METHODOLOGY; TEMPERATE CLIMATE; TRAINING ALGORITHMS; UNGAUGED BASINS; UPSCALING; US GEOLOGICAL SURVEY; VERMONT;

CATCHMENTS; CLIMATOLOGY; DATA FLOW ANALYSIS; FORECASTING; HARMONIC ANALYSIS; STREAM FLOW; TIME SERIES ANALYSIS;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLIMATE MODELING; DATA SET; DRAINAGE BASIN; REGRESSION ANALYSIS; STREAMFLOW; TIME SERIES ANALYSIS;

UNITED STATES; VERMONT;

EID: 77952241177     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.02.037     Document Type: Article

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