文献
J-GLOBAL ID:202202260064221405
整理番号:22A1028153
深層学習モデルと統計モデルの指標に基づく石炭とガス突出予測のための早期警告法【JST・京大機械翻訳】
Early Warning Method for Coal and Gas Outburst Prediction Based on Indexes of Deep Learning Model and Statistical Model
著者 (9件):
Wang Chong
(1College of Safety Science and Engineering, Liaoning Technical University, Liaoning Technical University, Fuxin, China)
,
Wang Chong
(2Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Huludao, China)
,
Wang Chong
(3Information Research Institute, Ministry of Emergency Management, Beijing, China)
,
Wei Like
(3Information Research Institute, Ministry of Emergency Management, Beijing, China)
,
Wei Like
(4College of Resource and Safety, Chongqing University, Chongqing, China)
,
Hu Haiyong
(3Information Research Institute, Ministry of Emergency Management, Beijing, China)
,
Wang Jiren
(1College of Safety Science and Engineering, Liaoning Technical University, Liaoning Technical University, Fuxin, China)
,
Wang Jiren
(2Key Laboratory of Mine Thermodynamic Disasters and Control of Ministry of Education, Huludao, China)
,
Jiang Mengfeng
(3Information Research Institute, Ministry of Emergency Management, Beijing, China)
資料名:
Frontiers in Earth Science (Web)
(Frontiers in Earth Science (Web))
巻:
10
ページ:
811978
発行年:
2022年
JST資料番号:
U7066A
ISSN:
2296-6463
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)