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	A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving
	Wu, Qiang; Shen, Jianjun; Liu, Weitao; Wang, Yang
刊名	ARABIAN JOURNAL OF GEOSCIENCES
	2017
卷号	10期号:7
关键词	RBF neural networks Fullymechanized longwall mining with sublevel caving Height of water-conductive fractured zone Samples for training Predictionmodel Field measurement
DOI	10.1007/s12517-017-2959-3
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4585586
专题	山东大学
作者单位	China Univ Min & Technol Beijing, Natl Engn Res Ctr Coal Mine Water Hazard Controll, Beijing 100083, Peoples R
推荐引用方式 GB/T 7714	Wu, Qiang,Shen, Jianjun,Liu, Weitao,et al. A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving[J]. ARABIAN JOURNAL OF GEOSCIENCES,2017,10(7).
APA	Wu, Qiang,Shen, Jianjun,Liu, Weitao,&Wang, Yang.(2017).A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving.ARABIAN JOURNAL OF GEOSCIENCES,10(7).
MLA	Wu, Qiang,et al."A RBFNN-based method for the prediction of the developed height of a water-conductive fractured zone for fully mechanized mining with sublevel caving".ARABIAN JOURNAL OF GEOSCIENCES 10.7(2017).

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