Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs

Engineering Optimization

Volumn 48, Issue 6, 2016, Pages 933-948

  Khoshbin, Fatemeh ^a   Bonakdari, Hossein ^a   Ashraf Talesh, Seyed Hamed ^b   Ebtehaj, Isa ^a   Zaji, Amir Hossein ^a   Azimi, Hamed ^a  

^a RAZI UNIVERSITY   (Iran)

^b UNIVERSITY OF GUILAN   (Iran)

Author keywords

ANFIS; discharge coefficient; genetic algorithm; singular value decomposition

Indexed keywords

ALGORITHMS; FUZZY SYSTEMS; GENETIC ALGORITHMS; HYDRAULIC STRUCTURES; INFERENCE ENGINES; MEAN SQUARE ERROR; MEMBERSHIP FUNCTIONS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SINGULAR VALUE DECOMPOSITION; TRACKING (POSITION); WEIRS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; DIMENSIONLESS PARAMETERS; DISCHARGE COEFFICIENTS; MEAN ABSOLUTE PERCENTAGE ERROR; MULTI LAYER PERCEPTRON; ROOT MEAN SQUARE ERRORS; SINGULAR VALUE DECOMPOSITION METHOD;

FUZZY INFERENCE;

EID: 84939161761     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/0305215X.2015.1071807     Document Type: Article

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