Estimation of electrical resistivity using artificial neural networks: a case study from Lublin Basin, SE Poland
Crossref DOI link: https://doi.org/10.1007/s11600-021-00554-0
Published Online: 2021-03-01
Published Print: 2021-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ważny, Jakub http://orcid.org/0000-0002-0508-3090
Stefaniuk, Michał
Cygal, Adam
Text and Data Mining valid from 2021-03-01
Version of Record valid from 2021-03-01
Article History
Received: 19 September 2020
Accepted: 6 February 2021
First Online: 1 March 2021
Compliance with ethical standards
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.