煤矿井下煤与瓦斯突出预测的机器学习技术进展

IF 5.6 2区 工程技术 Q2 ENERGY & FUELS International Journal of Coal Geology Pub Date : 2024-02-01 DOI:10.1016/j.coal.2024.104471
A. Anani, S. Adewuyi, Nathalie Risso, W. Nyaaba
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Advancements in machine learning techniques for coal and gas outburst prediction in underground mines
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来源期刊
International Journal of Coal Geology
International Journal of Coal Geology 工程技术-地球科学综合
CiteScore
11.00
自引率
14.30%
发文量
145
审稿时长
38 days
期刊介绍: The International Journal of Coal Geology deals with fundamental and applied aspects of the geology and petrology of coal, oil/gas source rocks and shale gas resources. The journal aims to advance the exploration, exploitation and utilization of these resources, and to stimulate environmental awareness as well as advancement of engineering for effective resource management.
期刊最新文献
Editorial Board Anomalies in Vicker's microhardness of subbituminous and high volatile bituminous coals Organic petrology and geochemistry of the late Neogene Shizigou Formation in the Qaidam Basin, China: Characteristics of a prospective microbial gas source rock Corrigendum to “Characteristics of the low-pressure spatial and temporal distributions of oil- and gas-bearing layers in the Ordos Basin, China” [Int. J. Coal Geol. 2024 (285) 104476]. Deep syntectonic burial of the Anthracite belt, Eastern Pennsylvania
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