Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin

Advances in Engineering Software

Volumn 40, Issue 10, 2009, Pages 1039-1046

  Seckin, Galip ^a   Akoz, Mevlut Sami ^a   Cobaner, Murat ^b   Haktanir, Tefaruk ^b  

^a CUKUROVA UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Bridge backwater; Hydraulic model testing; Open channel flow

Indexed keywords

BACKPROPAGATION; ESTIMATION; GEOLOGICAL SURVEYS; HYDRAULIC MODELS; HYDRAULIC STRUCTURES; OPEN CHANNEL FLOW; RADIAL BASIS FUNCTION NETWORKS; WALL FLOW; WATER; WATERSHEDS;

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK APPROACHES; BRIDGE SITES; FEED-FORWARD BACK PROPAGATION; FIELD DATUM; GENERALIZED REGRESSION NEURAL NETWORKS; HYDRAULIC EFFICIENCIES; HYDRAULIC PERFORMANCE; MISSISSIPPI RIVER BASINS; PUBLIC ROADS; RADIAL BASIS FUNCTIONS; UNITED STATES GEOLOGICAL SURVEYS; US GEOLOGICAL SURVEYS;

NEURAL NETWORKS;

EID: 67349225787     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2009.03.002     Document Type: Article

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