System Design of 3D Reconstruction of Rock Deformation in Tunnels Based on a Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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System Design of 3D Reconstruction of Rock Deformation in Tunnels Based on a Deep Convolutional Neural Network

Published:2020-08-12 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2020
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Author:

Zhang Xiaoguang¹²²²²,Zheng Xuan¹²²²²,Fu Shuai¹²²²²,Li Xue¹²²²²,Cong Lipeng¹²²²²

Affiliation:

1. Guangzhou Metro Design and Research Institute Co. Ltd., No. 132, WeiYang Rd., P.O. Box 710016, Xi’an, Shaanxi, China.

2. School of Electronic and Control Engineering, Chang’an Univ., Middle Section of S. 2nd Ring Rd., P.O. Box 710064, Xi’an, Shaanxi, China.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784482933.131

Reference32 articles.

1. The accuracy in estimating truck class rates for logistical planning;Ballou R. H.;Transportation Research Part A: Policy and Practice,2002

2. Manopt, a matlab toolbox for optimization on manifolds;Boumal N.;Journal of Machine Learning Research,2014

3. Learning local appearances with sparse representation for robust and fast visual tracking;Bai T.;IEEE Transactions on Cybernetics.,2015

4. Use of an Hourglass Model in Neuronal Coding;Cottrell M.;Journal of Applied Probability,2007

5. Nonlinear regression analysis of the tunnel surrounding rock pressure monitored;Chen W. F.;Optical Technique,2014

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