Maximum Gradient Decision-Making for Railways Based on Convolutional Neural Network
Author(s): |
Hao Pu
(Professor, College of Civil Engineering, National Engineering Laboratory of High Speed Railway Construction, Central South Univ., Changsha 410075, China.)
Hong Zhang (Ph.D. Candidate, College of Civil Engineering, National Engineering Laboratory of High Speed Railway Construction, Central South Univ., Changsha 410075, China.) Paul Schonfeld (Professor, Dept. of Civil and Environmental Engineering, Univ. of Maryland, College Park, MD 20742.) Wei Li (Associate Professor, College of Civil Engineering, National Engineering Laboratory of High Speed Railway Construction, Central South Univ., Changsha 410075, China (corresponding author).) Jie Wang (Professorate Senior Engineer, China Railway First Survey and Design Institute Group Co. Ltd., Xi’an 710043, China.) Xianbao Peng (Professorate Senior Engineer, China Railway Siyuan Survey and Design Group Co. Ltd., Wuhan 430063, China.) Jianping Hu (Professorate Senior Engineer, China Railway Eryuan Engineering Group Co. Ltd., Chengdu 610031, China.) |
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Medium: | journal article |
Language(s): | English |
Published in: | Journal of Transportation Engineering, Part A: Systems, November 2019, n. 11, v. 145 |
Page(s): | 04019047 |
DOI: | 10.1061/jtepbs.0000272 |
- About this
data sheet - Reference-ID
10580370 - Published on:
08/03/2021 - Last updated on:
08/03/2021