An approach to predict the height of fractured water-conducting zone of coal roof strata using random forest regression
Crossref DOI link: https://doi.org/10.1038/s41598-018-29418-2
Published Online: 2018-07-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhao, Dekang
Wu, Qiang
Text and Data Mining valid from 2018-07-20
Version of Record valid from 2018-07-20
Article History
Received: 24 January 2018
Accepted: 8 June 2018
First Online: 20 July 2018
Competing Interests
: The authors declare no competing interests.