Application of a neuro-fuzzy GMDH model for predicting the velocity at limit of deposition in storm sewers

Journal of Pipeline Systems Engineering and Practice

Volumn 8, Issue 1, 2017, Pages

  Najafzadeh, Mohammad ^a   Bonakdari, Hossein ^b  

^a GRADUATE UNIVERSITY OF ADVANCED TECHNOLOGY   (Iran)

^b SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Empirical equations; Neuro fuzzy group method of data handling (GMDH); Nondeposition conditions; Particle swarm optimization; Sediment transport; Sewer pipes; Velocity at limit of deposition

Indexed keywords

DATA HANDLING; DEPOSITS; EXPERIMENTAL REACTORS; FORECASTING; FUZZY INFERENCE; FUZZY SETS; LEARNING SYSTEMS; PROBLEM SOLVING; SEDIMENT TRANSPORT; SEDIMENTATION; STORM SEWERS; STORMS; VELOCITY;

DIMENSIONLESS VELOCITY; EMPIRICAL EQUATIONS; GROUP METHOD OF DATA HANDLING; NEURO-FUZZY; NONDEPOSITION CONDITIONS; SEMIEMPIRICAL EQUATION; SEWER PIPES; TRAINING AND TESTING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 85010525593     PISSN: 19491190     EISSN: 19491204     Source Type: Journal    
DOI: 10.1061/(ASCE)PS.1949-1204.0000249     Document Type: Article

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