Research on Intelligent Prediction of EDZ Around Deep Tunnels Based on Improved XGBoost Algorithm

Xingyu FAN, Xuelin WANG

Gold Science and Technology ›› 2024, Vol. 32 ›› Issue (1) : 109-122.

PDF(7813 KB)
ISSN 1005-2518
CN 62-1112/TF
RSS  |  Email Alert
PDF(7813 KB)
Gold Science and Technology ›› 2024, Vol. 32 ›› Issue (1) : 109-122. DOI: 10.11872/j.issn.1005-2518.2024.01.116
Mining Technology and Mine Management

Research on Intelligent Prediction of EDZ Around Deep Tunnels Based on Improved XGBoost Algorithm

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 32(1): 109-122 https://doi.org/10.11872/j.issn.1005-2518.2024.01.116

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(7813 KB)

Accesses

Citation

Detail
Sections
Recommended
Contact Us
Copyright © Gold Science and Technology
Address: No.8 Tianshui Road, Lanzhou City, P.R.China
Postcode: 730000
Telephone: 0931-8277791
Email： hjkx@lzb.ac.cn
Journal Online
  • Current Issue
  • Online First
  • Archive
  • Advanced Search
  • Collections
  • Most Read行
  • Most Read
  • Most Cited
    • Wechat
    Visited
    Total visitors:
    Visitors of today: 　
    Now online:
    陇ICP备17001318号-1　 甘公网安备 62010202000672号

    /

    〈 〉