A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons

Automation in Construction

Volumn 41, Issue , 2014, Pages 60-69

  Cheng, Min Yuan ^a   Cao, Minh Tu ^a   Tran, Duc Hoc ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Artificial bee colony; Artificial intelligence; Fuzzy logic; Radial basis function neural network; Suction caisson; Uplift capacity

Indexed keywords

ARTIFICIAL INTELLIGENCE; CAISSONS; COMPUTER CIRCUITS; FORECASTING; FOUNDATIONS; FUNCTIONS; FUZZY LOGIC; OFFSHORE OIL WELL PRODUCTION; OFFSHORE STRUCTURES; OPTIMIZATION; PRESSURE VESSELS; RADIAL BASIS FUNCTION NETWORKS; SUPERVISED LEARNING; UNCERTAINTY ANALYSIS;

10-FOLD CROSS-VALIDATION; ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS (ABC); FUZZY RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTION NEURAL NETWORKS; SUCTION CAISSON; UNCERTAIN INFORMATIONS; UPLIFT CAPACITY;

FUZZY INFERENCE;

EID: 84897819736     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.autcon.2014.02.008     Document Type: Article

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