Dose and fading time estimation of glass ceramic by using artificial neural network method

dc.authorid0000-0002-6179-5746en_US
dc.contributor.authorIşık, İbrahim
dc.contributor.authorIşık, Esme
dc.contributor.authorToktamış, Hüseyin
dc.date.accessioned2022-03-22T11:57:10Z
dc.date.available2022-03-22T11:57:10Z
dc.date.issued2021en_US
dc.departmentMTÖ Üniversitesi, Darende Meslek Yüksekokulu, Tıbbi Hizmetler ve Teknikler Bölümüen_US
dc.description.abstractCeramic materials commonly used for dental prosthetics and restorations shows luminescent properties. Dental ceramics are considered the most natural-looking restorative materials for aesthetic rehabilitation due to their transparency. They are commonly used for dose response and fading assessment by using thermoluminescence method in various fields of dosimetric applications. In present study, we use artificial neural networks (ANN) toolbox of Matlab to predict irradiation dose and fading time using glow curve data from dental glass ceramic which is thermoluminescent (TL) dosimetric material. Temperature, dose value and fading time are used for input and TL intensity used for output component of the proposed ANN model. 18 neurons are used for hidden layer to analyze the experimental results of the model. Experimental and simulation results are compared and similarity is found as about 99 % in this present study.en_US
dc.identifier.citationİbrahim, I. Ş. I. K., Esme, I. Ş. I. K., & TOKTAMIŞ, H. (2020). Dose and fading time estimation of glass ceramic by using artificial neural network method. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 12(1), 47-52.en_US
dc.identifier.doi10.24012/dumf.703171
dc.identifier.endpage52en_US
dc.identifier.issue1en_US
dc.identifier.startpage47en_US
dc.identifier.uri10.24012/dumf.703171
dc.identifier.urihttps://hdl.handle.net/20.500.12899/767
dc.identifier.volume12en_US
dc.institutionauthorIşık, Esme
dc.language.isoenen_US
dc.relation.ispartofDUJE (Dicle University Journal of Engineering)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectThermoluminescence,en_US
dc.subjectArtificial Neural Networken_US
dc.subjectGlow curveen_US
dc.subjectFadingen_US
dc.titleDose and fading time estimation of glass ceramic by using artificial neural network methoden_US
dc.typeArticleen_US

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