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

Abstract

Ceramic materials commonly used for dental prosthetics and restorations shows luminescent properties.Dental ceramics are considered the most natural-looking restorative materials for aesthetic rehabilitationdue to their transparency. They are commonly used for dose response and fading assessment by usingthermoluminescence method in various fields of dosimetric applications. In present study, we useartificial neural networks (ANN) toolbox of Matlab to predict irradiation dose and fading time usingglow 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 ofthe model. Experimental and simulation results are compared and similarity is found as about 99 % inthis present study.