Predicting trapezoidal and rectangular side weirs discharge coefficient using machine learning methods

ISH Journal of Hydraulic Engineering

Volumn 22, Issue 3, 2016, Pages 254-261

  Roushangar, Kiyoumars ^a   Khoshkanar, Reza ^a   Shiri, Jalal ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Discharge coefficient; gene expression programming; rectangular weir; support vector machines; trapezoidal weir

Indexed keywords

ARTIFICIAL INTELLIGENCE; ERROR STATISTICS; FORECASTING; GENE EXPRESSION; GENETIC ALGORITHMS; HYDRAULIC MACHINERY; SUPPORT VECTOR MACHINES;

CORRELATION COEFFICIENT; DISCHARGE COEFFICIENTS; GENE EXPRESSION PROGRAMMING; GENERALIZATION ABILITY; IN-FLOW MEASUREMENTS; MACHINE LEARNING METHODS; PREDICTION ACCURACY; TRAPEZOIDAL SIDE WEIRS;

WEIRS;

EID: 84964553128     PISSN: 09715010     EISSN: 21643040     Source Type: Journal    
DOI: 10.1080/09715010.2016.1177740     Document Type: Article

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