Sawability prediction of carbonate rocks from shear strength parameters using artificial neural networks

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dc.contributor.authorKahraman S.
dc.contributor.authorAltun H.
dc.contributor.authorTezekici B.S.
dc.contributor.authorFener M.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2006
dc.departmentNiğde ÖHÜ
dc.description.abstract[No abstract available]
dc.description.sponsorshipFundamental Research Fund of Shandong University
dc.description.sponsorshipThe authors are deeply grateful to Nigde University Research Fund for the financial support. The authors wish to acknowledge Kamer Mermer, Derinkok Mermer, Toros Mermer, Akmeras Mermer, Kombassan Mermer, Antalya Mermer, Model Mermer, Derinoglu Mermer and Detay Mermer for providing facilities for the machine performance measurements.
dc.identifier.doi10.1016/j.ijrmms.2005.04.007
dc.identifier.endpage164
dc.identifier.issn1365-1609
dc.identifier.issue1
dc.identifier.scopus2-s2.0-27944471727
dc.identifier.scopusqualityQ1
dc.identifier.startpage157
dc.identifier.urihttps://dx.doi.org/10.1016/j.ijrmms.2005.04.007
dc.identifier.urihttps://hdl.handle.net/11480/1270
dc.identifier.volume43
dc.identifier.wosWOS:000233798900012
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofInternational Journal of Rock Mechanics and Mining Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleSawability prediction of carbonate rocks from shear strength parameters using artificial neural networks
dc.typeArticle

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