A prediction model for the height of the water-conducting fractured zone in the roof of coal mines based on factor analysis and RBF neural network
Crossref DOI link: https://doi.org/10.1007/s12517-022-09523-3
Published Online: 2022-01-25
Published Print: 2022-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bi, Yaoshan
Wu, Jiwen
Zhai, Xiaorong
Huang, Kai
Text and Data Mining valid from 2022-01-25
Version of Record valid from 2022-01-25
Article History
Received: 15 July 2021
Accepted: 12 January 2022
First Online: 25 January 2022
Declarations
:
: The authors declare no conflict of interest.