Recommended Citation
Postprint version. Published in Concrete International, Volume 40, Issue 9, September 1, 2018, pages 35-41.
Original can be found at: https://www.concrete.org/publications/internationalconcreteabstractsportal.aspx?m=details&ID=51711112
Abstract
Deep learning (DL) is currently being researched and implemented to solve civil engineering related problems, including autonomous inspection and inventory of civil infrastructure projects. The article introduces DL, specifically a convolutional neural network and the supervised learning process used to train a model that will enable professional structural engineers to automatically detect types of earthquake damage.
Disciplines
Architectural Engineering
Copyright
Copyright © 2018 by American Concrete Institute.
Number of Pages
7
Included in
URL: https://digitalcommons.calpoly.edu/aen_fac/125