Neural network modelling of RC deep beam shear strength

Proceedings of the Institution of Civil Engineers: Structures and Buildings

Volumn 161, Issue 1, 2008, Pages 29-39

  Yang, K H ^a   Ashour, A F ^b   Song, J K ^c   Lee, E T ^d  

^a Mokpo National University   (South Korea)

^b UNIVERSITY OF BRADFORD   (United Kingdom)

^c Chonnam National University   (South Korea)

^d Chung Ang University   (South Korea)

Author keywords

Beams girders; Concrete structures

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CONCRETE BEAMS AND GIRDERS; CONCRETE CONSTRUCTION; DATABASE SYSTEMS; SHEAR STRENGTH;

RESILIENT BACK-PROPAGATION ALGORITHM; SHEAR CAPACITIES;

NEURAL NETWORKS;

ALGORITHMS; BACKPROPAGATION; CONCRETE BEAMS AND GIRDERS; CONCRETE CONSTRUCTION; DATABASE SYSTEMS; NEURAL NETWORKS; SHEAR STRENGTH;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CONCRETE STRUCTURE; CONFERENCE PROCEEDING; SHEAR STRENGTH;

EID: 40049088609     PISSN: 09650911     EISSN: None     Source Type: Journal    
DOI: 10.1680/stbu.2008.161.1.29     Document Type: Article

References (46)