Support vector machines in structural engineering: A review

Journal of Civil Engineering and Management

Volumn 21, Issue 3, 2015, Pages 261-281

  Çevik, Abdulkadir ^a   KURTOĞLU, Ahmet Emin ^b   Bilgehan, Mahmut ^b   Gülşan, Mehmet Eren ^a   Albegmprli, Hasan M ^c  

^a GAZIANTEP UNIVERSITY   (Turkey)

^b ZIRVE UNIVERSITY   (Turkey)

^c FOUNDATION OF TECHNICAL EDUCATION   (Iraq)

Author keywords

FRP reinforcement; haunched beams; SFRC corbels; statistical learning; structural engineering; support vector machines; ultimate load capacity

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA HANDLING; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; STRUCTURAL DESIGN; SUPPORT VECTOR MACHINES;

FRP REINFORCEMENT; HAUNCHED BEAMS; SFRC CORBELS; STATISTICAL LEARNING; ULTIMATE LOAD CAPACITY;

ENGINEERING EDUCATION;

EID: 84937565389     PISSN: 13923730     EISSN: 18223605     Source Type: Journal    
DOI: 10.3846/13923730.2015.1005021     Document Type: Review

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