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Zuo, Renguang, Carranza, Emmanuel John M. (2011) Support vector machine: A tool for mapping mineral prospectivity. Computers & Geosciences, 37 (12) 1967-1975 doi:10.1016/j.cageo.2010.09.014

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Reference TypeJournal (article/letter/editorial)
TitleSupport vector machine: A tool for mapping mineral prospectivity
JournalComputers & Geosciences
AuthorsZuo, RenguangAuthor
Carranza, Emmanuel John M.Author
Year2011 (December)Volume37
Issue12
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2010.09.014Search in ResearchGate
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Mindat Ref. ID452083Long-form Identifiermindat:1:5:452083:6
GUID0
Full ReferenceZuo, Renguang, Carranza, Emmanuel John M. (2011) Support vector machine: A tool for mapping mineral prospectivity. Computers & Geosciences, 37 (12) 1967-1975 doi:10.1016/j.cageo.2010.09.014
Plain TextZuo, Renguang, Carranza, Emmanuel John M. (2011) Support vector machine: A tool for mapping mineral prospectivity. Computers & Geosciences, 37 (12) 1967-1975 doi:10.1016/j.cageo.2010.09.014
In(2011, December) Computers & Geosciences Vol. 37 (12) Elsevier BV

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Xiong, Yihui; Zuo, Renguang; Carranza, Emmanuel John M. (2018) Mapping mineral prospectivity through big data analytics and a deep learning algorithm. Ore Geology Reviews, 102. doi:10.1016/j.oregeorev.2018.10.006
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