A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed

Neural Computing and Applications

Volumn 29, Issue 6, 2018, Pages 249-258

  Azimi, Hamed ^a   Bonakdari, Hossein ^a,b   Ebtehaj, Isa ^a   Michelson, David G ^b  

^a RAZI UNIVERSITY   (Iran)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

ANFIS; Firefly algorithm; Jump; Roller length; Supercritical

Indexed keywords

ALGORITHMS; BIOLUMINESCENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HYDRAULIC JUMP; HYDRAULIC STRUCTURES; INFERENCE ENGINES; INTELLIGENT AGENTS; OPTIMIZATION; ROLLERS (MACHINE COMPONENTS);

ANFIS; FIREFLY ALGORITHMS; JUMP; ROLLER LENGTH; SUPERCRITICAL;

FUZZY INFERENCE;

EID: 84982282524     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-016-2560-9     Document Type: Article

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