Analysis and estimation of fading time from thermoluminescence glow curve by using artificial neural network

Basit Öğe Kaydı
dc.authoridIsik, Esme/0000-0002-6179-5746
dc.authoridisik, ibrahim/0000-0003-1355-9420
dc.authorwosidIsik, Esme/AAG-5927-2019
dc.authorwosidisik, ibrahim/AAG-5915-2019
dc.contributor.authorIsik, Esme
dc.contributor.authorIsik, Ibrahim
dc.contributor.authorToktamis, Huseyin
dc.date.accessioned2024-08-04T20:50:29Z
dc.date.available2024-08-04T20:50:29Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe artificial neural network (ANN) is an information processing technology inspired by the information processing technique of the human brain. The way the simple biological nervous system works is imitated with ANN. In this study, an ANN model is proposed to analyze and simulate TL intensity of experimental data of quartz crystals with respect to the fading. In this model, network type and transfer function are chosen as the feed-forward backpropagation algorithm and Tansig respectively for the training of the proposed ANN model. The optimization process is also chosen as Levenberg-Marquardt in this study. The performance criteria of the proposed method were evaluated according to the coefficient of determination (R-2) and mean-squared error (MSE) techniques. After simulation results are obtained, the TL glow curve of the prediction results of quartz crystal is obtained as a function of fading time irradiated with beta-source at 70 Gy for stored in 64 h at room temperature.en_US
dc.identifier.doi10.1080/10420150.2021.1954000
dc.identifier.endpage776en_US
dc.identifier.issn1042-0150
dc.identifier.issn1029-4953
dc.identifier.issue9-10en_US
dc.identifier.scopus2-s2.0-85111672881en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage765en_US
dc.identifier.urihttps://doi.org/10.1080/10420150.2021.1954000
dc.identifier.urihttps://hdl.handle.net/11616/100091
dc.identifier.volume176en_US
dc.identifier.wosWOS:000677971600001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofRadiation Effects and Defects in Solidsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectThermoluminescenceen_US
dc.subjectfadingen_US
dc.subjectArtificial neural networken_US
dc.subjectglow curveen_US
dc.titleAnalysis and estimation of fading time from thermoluminescence glow curve by using artificial neural networken_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu