Comparative study of multiple machine learning algorithms for risk level prediction in goaf-Reference-Cited by-同舟云学术

Comparative study of multiple machine learning algorithms for risk level prediction in goaf

Published:2023-08 Issue:8 Volume:9 Page:e19092
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Zhang Bin^ORCID,Hu Shaohua,Li Moxiao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference48 articles.

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3. The influence of an abandoned goaf on surface subsidence in an adjacent working coal face: a prediction method;Li;Bull. Eng. Geol. Environ.,2018

4. Analysis of influence of types of rocks forming the goaf with caving on the physical parameters of air stream flowing through these gob and adjacent headings;Brodny;Mechanika,2017

5. Analysis of influence of goaf sealing from tailgate on the methane concentration at the outlet from the longwall;Tutak;IOP Conf. Ser. Earth Environ. Sci.,2017

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