Deep learning-based axial capacity prediction for cold-formed steel channel sections using Deep Belief Network
Sign Up to like & getrecommendations! Published in 2021 at "Structures"
DOI: 10.1016/j.istruc.2021.05.096
Abstract: Abstract In this study, a deep learning-based axial capacity prediction for cold-formed steel channel sections is developed using Deep Belief Network (DBN). A total of 10,500 data points for training the DBN are generated from… read more here.
Keywords: based axial; learning based; capacity prediction; axial capacity ... See more keywords