New approach to estimate velocity at limit of deposition in storm sewers using vector machine coupled with firefly algorithm

Journal of Pipeline Systems Engineering and Practice

Volumn 8, Issue 2, 2017, Pages

  Ebtehaj, Isa ^a   Bonakdari, Hossein ^a   Shamshirband, Shahabuddin ^b   Ismail, Zubaidah ^b   Hashim, Roslan ^b  

^a RAZI UNIVERSITY   (Iran)

^b UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Firefly; Limit of deposition; Machine learning; Sediment transport; Storm sewer; Support vector machine

Indexed keywords

BIOLUMINESCENCE; DEEP NEURAL NETWORKS; FLOW VELOCITY; FROUDE NUMBER; FUNCTIONAL PROGRAMMING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; LEARNING SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; SEDIMENT TRANSPORT; SEDIMENTATION; SEDIMENTS; SEWERS; STORM SEWERS; STORMS; SUPPORT VECTOR MACHINES; VELOCITY;

ARTIFICIAL NEURAL NETWORK MODELS; BUCKINGHAM-PI THEOREM; DIMENSIONLESS GROUPS; DIMENSIONLESS PARAMETERS; DIMENSIONLESS VELOCITY; FIREFLY; FUNCTIONAL RELATIONSHIP; MEAN FLOW VELOCITIES;

DEPOSITION;

EID: 85016804180     PISSN: 19491190     EISSN: 19491204     Source Type: Journal    
DOI: 10.1061/(ASCE)PS.1949-1204.0000252     Document Type: Article

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