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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