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dc.contributor.authorKumru, Mesut
dc.date.accessioned2016-01-25T09:10:40Z
dc.date.available2016-01-25T09:10:40Z
dc.date.issued2011-06
dc.identifier.citationKumru, M. (2011). Neural networks and search for minimum defectiveness in molding operation in ceramic industry. In 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA) (pp. 335-339). Piscataway, NJ: IEEE. http://dx.doi.org/10.1109/INISTA.2011.5946140en_US
dc.identifier.isbn9781612849195
dc.identifier.other12109146 (INSPEC)
dc.identifier.other5946140 (Scopus)
dc.identifier.urihttp://dx.doi.org/10.1109/INISTA.2011.5946140
dc.identifier.urihttp://hdl.handle.net/11376/2356
dc.descriptionKumru, Mesut (Dogus Author) -- Conference full title: 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2011) Istanbul, Turkey, 15 - 18 June 2011en_US
dc.description.abstractThis study is to be conducted in a ceramics production plant where the highest product defectiveness occurs in the molding shop of the plant. There are a number of factors that affect the amount of product defectiveness. The purpose is to search for a set of factor treatment conditions which provide the minimum defectiveness performance in the shop. Artificial Neural Network (ANN) method was used to realize the purpose. Based on the statistical analysis, the ANN approach is found to be reliable in predicting the amount of defectiveness that depends on various factors.en_US
dc.description.sponsorshipTUBITAK, IEEE.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/INISTA.2011.5946140en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectCeramic Molding Processen_US
dc.subjectExperiment Designen_US
dc.subjectMetaheuristicsen_US
dc.titleNeural networks and search for minimum defectiveness in molding operation in ceramic industryen_US
dc.typeconferenceObjecten_US
dc.relation.journal2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA)en_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.authorIDTR143826en_US
dc.identifier.startpage335en_US
dc.identifier.endpage339en_US


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