Deep Transfer Learning for Image-Based Structural Damage Recognition-Reference-Cited by-同舟云学术

Deep Transfer Learning for Image-Based Structural Damage Recognition

Published:2018-04-16 Issue:9 Volume:33 Page:748-768
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Gao Yuqing¹²,Mosalam Khalid M.³²

Affiliation:

1. Department of Civil and Environmental Engineering; University of California; Berkeley CA USA

2. Tsinghua-Berkeley Shenzhen Institute (TBSI); Shenzhen China

3. Department of Civil and Environmental Engineering; University of California, Berkeley and Pacific Earthquake Engineering Research (PEER) Center; Berkeley CA USA

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mice.12363/fullpdf

Reference46 articles.

1. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks;Abdeljaber;Journal of Sound & Vibration,2017

2. Parallel structural analysis using threads;Adeli;Computer-Aided Civil and Infrastructure Engineering,1989

3. Deep learning of representations for unsupervised and transfer learning;Bengio;ICML Unsupervised and Transfer Learning,2012

4. Deep learning-based crack damage detection using convolutional neural networks;Cha;Computer-Aided Civil and Infrastructure Engineering,2017a

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