Prediction of side weir discharge coefficient by support vector machine technique

Water Science and Technology: Water Supply

Volumn 16, Issue 4, 2016, Pages 1002-1016

  Azamathulla, Hazi Mohammad ^a   Haghiabi, Amir Hamzeh ^a,b   Parsaie, Abbas ^b  

^a UNIVERSITY OF TABUK   (Saudi Arabia)

^b LORESTAN UNIVERSITY   (Iran)

Author keywords

Discharge coefficient; Hydraulic structure; Neural network; Support vector machine; Weirs

Indexed keywords

FLUID MECHANICS; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HYDRAULIC MACHINERY; HYDRAULIC STRUCTURES; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SENSITIVITY ANALYSIS; SHORE PROTECTION; SOFT COMPUTING; WEIRS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DISCHARGE COEFFICIENTS; EFFECTIVE PARAMETERS; HYDRAULIC ENGINEERING; PREDICTION PERFORMANCE; RADIAL BASIS FUNCTION KERNELS; SOFTCOMPUTING TECHNIQUES; SUPPORT VECTOR MACHINE TECHNIQUES;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; DISCHARGE; FUZZY MATHEMATICS; HYDRAULIC STRUCTURE; HYDROLOGICAL MODELING; PERFORMANCE ASSESSMENT; PREDICTION; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; WEIR;

ARTIFICIAL NEURAL NETWORK; FUZZY SYSTEM; GENETIC POLYMORPHISM; NERVOUS SYSTEM; PREDICTION; SUPPORT VECTOR MACHINE;

EID: 84983551919     PISSN: 16069749     EISSN: None     Source Type: Journal    
DOI: 10.2166/ws.2016.014     Document Type: Article

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