Your Location:
Home >
Browse articles >
A Deep Learning-Based Interlocking Test Sequence Recommendation Method
Communications/Signals | Updated:2024-09-20
    • A Deep Learning-Based Interlocking Test Sequence Recommendation Method

    • SU Xinyu , LIANG Zhiguo , ZHANG Hongyang , WANG Haifeng
    • Railway Standard Design Vol. 68, Issue 9, Pages: 192-199(2024)
    • DOI: 10.13238/j.issn.1004-2954.202212210001     

      CLC:
    • Revised:2023-01-17 ,

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • Figs( 10 ) Tabs( 3 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

31

Views

24

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Online Monitoring Method for Temperature Field of Subway Screen Doors Based on Digital Twin
Intelligent Recognition Technology for Rock Core Discontinuities Based on YOLOv8 Neural Network
Research on Intelligent Decision-Making Method for High-Speed Railway Tunnel Body Construction Based on Deep Learning
Detection and Quantitative Analysis of Rail Surface Damage Based on Deep Learning
Research on Anomaly Detection of Intercity High-speed Railway Platform Based on Deep Learning

Related Author

ZHANG Xiao
HAO Dengyun
ZHU Xiao
DONG Yuelong
LI Shiliang
ZHANG Zhanrong
WANG Yafei
ZHANG Guohua

Related Institution

The 713 Research Institute of CSSC
CSSC Haiwei High-tech Co.,Ltd.
Faculty of Engineering,China University of Geosciences(Wuhan)
China Railway Siyuan Survey and Design Group Co.,Ltd.
中国地质大学(武汉)地理与信息工程学院,武汉 430078School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430078, China