A SMOTified extreme learning machine for identifying mineralization anomalies from geochemical exploration data: a case study from the Yeniugou area, Xinjiang, China
Crossref DOI link: https://doi.org/10.1007/s12145-024-01246-1
Published Online: 2024-02-12
Published Print: 2024-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shayilan, Alina
Chen, Yongliang
Text and Data Mining valid from 2024-02-12
Version of Record valid from 2024-02-12
Article History
Received: 27 October 2023
Accepted: 31 January 2024
First Online: 12 February 2024
Declarations
:
: The authors declare no competing interests.