文献
J-GLOBAL ID:202202264293604770
整理番号:22A1036839
数値シミュレーションと機械学習を用いた地表沈下範囲と地質採掘条件との関係【JST・京大機械翻訳】
Relationship between Surface Subsidence Range and Geological Mining Conditions Using Numerical Simulation and Machine Learning
著者 (5件):
Zhang Yanjun
(College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China)
,
He Fushuai
(Power China Zhongnan Engineering Corporation Limited, Changsha 410000, China)
,
Kong Jiayuan
(School of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China)
,
Zhu Yuanhao
(College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China)
,
Wang Lingfei
(Statistics Bureau of Xinzhou City, Xinzhou 034000, China)
資料名:
Scientific Programming
(Scientific Programming)
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
W0689A
ISSN:
1058-9244
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)