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
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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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