Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

Advances in Engineering Software

Volumn 42, Issue 4, 2011, Pages 208-214

  Bilhan, Omer ^a   Emiroglu, M Emin ^a   Kisi, Ozgur ^b  

^a FIRAT UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Curved channel; Discharge coefficient; Hydraulic; Labyrinth; Neural networks; Side weir

Indexed keywords

ERRORS; HYDRAULIC STRUCTURES; HYDRAULICS; REGRESSION ANALYSIS; WEIRS;

ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; CURVED CHANNELS; DISCHARGE COEFFICIENT; DISCHARGE COEFFICIENTS; EXPERIMENTAL DATA; LABORATORY TEST; LABYRINTH; LINEAR REGRESSION MODELS; MEAN ABSOLUTE ERROR; NEURAL COMPUTING; ROOT MEAN SQUARE ERRORS; SIDE WEIR; VALIDATION STAGES;

NEURAL NETWORKS;

EID: 79953200112     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advengsoft.2011.02.006     Document Type: Article

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