Comparison of Artificial Neural Network Methods with L-moments for Estimating Flood Flow at Ungauged Sites: The Case of East Mediterranean River Basin, Turkey

Water Resources Management

Volumn 27, Issue 7, 2013, Pages 2103-2124

  Seckin, Neslihan ^a   Cobaner, Murat ^b   Yurtal, Recep ^a   Haktanir, Tefaruk ^b  

^a CUKUROVA UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; L moments; Regional flood frequency; Ungauged catchments

Indexed keywords

CATCHMENTS; DATA STREAMS; FLOOD CONTROL; FLOODS; MATLAB; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; RIVERS; WATERSHEDS;

ARTIFICIAL NEURAL NETWORK METHODS; GENERALIZED LOGISTIC DISTRIBUTIONS; GENERALIZED REGRESSION NEURAL NETWORK(GRNN); L-MOMENTS; MULTIPLE NONLINEAR REGRESSION; REGIONAL FLOOD FREQUENCIES; REGIONAL FLOOD FREQUENCY ANALYSIS; UNGAUGED CATCHMENT;

MULTILAYER NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CATCHMENT; FLOOD FREQUENCY; FREQUENCY ANALYSIS; NUMERICAL MODEL; PROBABILITY; RIVER BASIN;

TURKEY;

EID: 84876423750     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0278-3     Document Type: Article

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