Dose and fading time estimation of glass ceramic by using artificial neural network method
Yükleniyor...
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Ceramic 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.
Açıklama
Anahtar Kelimeler
Thermoluminescence,, Artificial Neural Network, Glow curve, Fading
Kaynak
DUJE (Dicle University Journal of Engineering)
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
1
Künye
İbrahim, 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.
