Modeling of grinding process by artificial neural network for calcite mineral

dc.authorid0000-0003-4098-959X
dc.contributor.authorUmucu, Yakup
dc.contributor.authorÇağlar, Mehmet Fatih
dc.contributor.authorGündüz, Lütfullah
dc.contributor.authorBozkurt, Volkan
dc.contributor.authorDeniz, Vedat
dc.date.accessioned2019-05-13T09:09:04Z
dc.date.available2019-05-13T09:09:04Z
dc.date.issued2011
dc.departmentHitit Üniversitesi, Mühendislik Fakültesi, Polimer Mühendisliği Bölümü
dc.description2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011, 15 June 2011 through 18 June 2011, Istanbul-Kadikoy
dc.description.abstractThe grindability properties of calcite sample belong to Afyonkarahisar region were investigated at batch grinding conditions based on a kinetic model. The obtained kinetic model parameters were used to estimate the product size distribution by artificial neural networks (ANN). Then, the experimental and neural network prediction results are compared. © 2011 IEEE.
dc.description.sponsorshipTUBITAK;IEEEen_US
dc.identifier.citationUmucu, Y., Çağlar, M. F., Gündüz, L., Bozkurt, V., Deniz, V. (2011). Modeling of grinding process by artificial neural network for calcite mineral. In 2011 International Symposium on Innovations in Intelligent Systems and Applications. INISTA 2011, 15 June 2011 through 18 June 2011, Istanbul-Kadikoy.
dc.identifier.doi10.1109/INISTA.2011.5946142
dc.identifier.endpage348en_US
dc.identifier.isbn9781612849195
dc.identifier.scopusqualityN/A
dc.identifier.startpage344en_US
dc.identifier.urihttps://doi.org/10.1109/INISTA.2011.5946142
dc.identifier.urihttps://hdl.handle.net/11491/2097
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBall Millen_US
dc.subjectGrindingen_US
dc.subjectModelingen_US
dc.subjectNeural Networken_US
dc.titleModeling of grinding process by artificial neural network for calcite mineral
dc.typeConference Object

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