Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers

Environmental Earth Sciences

Volumn 75, Issue 2, 2016, Pages 1-12

  Najafzadeh, Mohammad ^a   Tafarojnoruz, Ali ^b  

^a GRADUATE UNIVERSITY OF ADVANCED TECHNOLOGY   (Iran)

^b UNIVERSITY OF CALABRIA   (Italy)

Author keywords

Empirical approaches; Longitudinal dispersion coefficient; Neuro fuzzy GMDH; PSO algorithm; Rivers

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA HANDLING; DISPERSIONS; FUZZY INFERENCE; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; RIVERS; SHEAR FLOW; TREES (MATHEMATICS);

DIFFERENTIAL EVOLUTIONARY; EMPIRICAL APPROACH; GROUP METHOD OF DATA HANDLING; LONGITUDINAL DISPERSION COEFFICIENT; NEURO-FUZZY; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; TRAINING AND TESTING;

PARTICLE SWARM OPTIMIZATION (PSO);

ARTIFICIAL NEURAL NETWORK; DISPERSION; FUZZY MATHEMATICS; GENETIC ALGORITHM; OPTIMIZATION; PREDICTION; RIVER; WATER POLLUTION;

EID: 84953310271     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-015-4877-6     Document Type: Article

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