2021 Volume 27 Issue 66 Pages 756-760
It takes time to carry out the post-earthquake quick inspection of many damaged buildings after large earthquakes. As image classification method of damage level after earthquake, deep learning with convolutional neural network is applied to reinforced concrete columns. We achieve a classification accuracy of 77% by AlexNet and 80% by VGG16 in case of transfer learning. To show the reason of classification, Grad-cam is utilized.
Ethical standards of the publisher (‘Ethical Standards Concerning the Peer Review for the Presentation of Architectural Transactions and Works’)
