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