Determination of drilling points with artificial neural networks [Sondaj noktalari{dotless}ni{dotless}n yapay sinir a?lari{dotless} ile belirlenmesi]

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dc.contributor.authorÖzdeniz A.H.
dc.contributor.authorKarlik B.
dc.date.accessioned2020-03-26T18:44:37Z
dc.date.available2020-03-26T18:44:37Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.descriptionBoren;DEMiR Export;et al;metso Expect results;Outotec;TMMOB Maden Muhendisleri Odasien_US
dc.description23rd International Mining Congress and Exhibition of Turkey, IMCET 2013 -- 16 April 2013 through 19 April 2013 -- Antalya -- 105453en_US
dc.description.abstractDrilling operations are widely used method in mine exploration. Mine exploration using this method is required a significant work to determine the mine characteristics such as reserves, grade and quality. In addition, drilling operations is an important outcome for mine companies. Evaluation of mines is so difficult however it is so necessary. Data obtained from exploration drilling is used to determine the new drilling points to direct the drilling work. In this study, drilling data was used obtained from 28 drilling well in a coal mine located at Ermenek region of Konya, Turkey. Artificial neural networks (ANN) software has developed to determine new drilling location points at this coal mine. A supervised neural network learning algorithm (Back-propagation) was used to train and test for a drilling data obtained from coal mine. Moreover, experimental and test results of ANN were compared. The results showed that determination of a new drilling points using ANN are provided great benefit in terms of both time and cost.en_US
dc.identifier.endpage1619en_US
dc.identifier.isbn9.78163E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1615en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30024
dc.identifier.volume3en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherChamber of Mining Engineers of Turkeyen_US
dc.relation.ispartof23rd International Mining Congress and Exhibition of Turkey, IMCET 2013en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleDetermination of drilling points with artificial neural networks [Sondaj noktalari{dotless}ni{dotless}n yapay sinir a?lari{dotless} ile belirlenmesi]en_US
dc.typeConference Objecten_US

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