Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls
Crossref DOI link: https://doi.org/10.1007/s12145-018-00377-6
Published Online: 2019-01-03
Published Print: 2019-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ghezelbash, Reza
Maghsoudi, Abbas http://orcid.org/0000-0003-1683-9209
Carranza, Emmanuel John M.
Text and Data Mining valid from 2019-01-03
Article History
Received: 1 September 2018
Accepted: 26 December 2018
First Online: 3 January 2019