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	Prediction of Rock Compressive Strength Using Machine Learning Algorithms Based on Spectrum Analysis of Geological Hammer
	Ren, Q.; Wang, G.; Li, M.; Han, S.
刊名	Geotechnical and Geological Engineering
	2019
卷号	Vol.37 No.1页码:475-489
关键词	Geological hammer Machine learning algorithms Rock compressive strength Rock mass classification Spectrum analysis
ISSN号	0960-3182;1573-1529
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2902876
专题	天津大学
作者单位	1.a State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300354, China 2.b Chengdu Engineering Corporation Limited, PowerChina, Chengdu, 410014, China
推荐引用方式 GB/T 7714	Ren, Q.,Wang, G.,Li, M.,et al. Prediction of Rock Compressive Strength Using Machine Learning Algorithms Based on Spectrum Analysis of Geological Hammer[J]. Geotechnical and Geological Engineering,2019,Vol.37 No.1:475-489.
APA	Ren, Q.,Wang, G.,Li, M.,&Han, S..(2019).Prediction of Rock Compressive Strength Using Machine Learning Algorithms Based on Spectrum Analysis of Geological Hammer.Geotechnical and Geological Engineering,Vol.37 No.1,475-489.
MLA	Ren, Q.,et al."Prediction of Rock Compressive Strength Using Machine Learning Algorithms Based on Spectrum Analysis of Geological Hammer".Geotechnical and Geological Engineering Vol.37 No.1(2019):475-489.

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