Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks

Water Resources Management

Volumn 29, Issue 7, 2015, Pages 2205-2219

  Najafzadeh, Mohammad ^a   Sattar, Ahmed M A ^b  

^a GRADUATE UNIVERSITY OF ADVANCED TECHNOLOGY   (Iran)

^b CAIRO UNIVERSITY   (Egypt)

Author keywords

Longitudinal dispersion coefficient; NF GMDH; Pipe network; PSO algorithm

Indexed keywords

BOLTZMANN EQUATION; COMPLEX NETWORKS; DATA HANDLING; EVOLUTIONARY ALGORITHMS; FRICTION; FUZZY SETS; PARTICLE SWARM OPTIMIZATION (PSO); PIPE FLOW; REYNOLDS NUMBER; SENSITIVITY ANALYSIS; TURBULENT FLOW;

DISPERSION COEFFICIENT; ESSENTIAL CHARACTERISTIC; FRICTION COEFFICIENTS; LONGITUDINAL DISPERSION COEFFICIENT; LONGITUDINAL DISPERSIONS; NF-GMDH; PIPE NETWORKS; PSO ALGORITHMS;

DISPERSIONS;

EID: 84939964119     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-015-0936-8     Document Type: Article

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