Prediction of gamma ray spectrum for 22Na source by feed forward back propagation ANN model

Basit Öğe Kaydı
dc.authoridekmekci, ismail/0000-0002-2247-2549
dc.contributor.authorTeke, Cagatay
dc.contributor.authorAkkurt, Iskender
dc.contributor.authorArslankaya, Seher
dc.contributor.authorEkmekci, Ismail
dc.contributor.authorGunoglu, Kadir
dc.date.accessioned2024-10-12T19:42:55Z
dc.date.available2024-10-12T19:42:55Z
dc.date.issued2023
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractThe radiation has been used in a variety of different fields since its discovery and thus its measurement becomes vital in these industries. Different type detector may be used to measure gamma rays depends on the purposes of measurements. Gamma ray energy spectrum is an important to determine either elemental analysing of a sample or radiation shielding purposes. On the other hand, Artificial Neural Network (ANN) may be used to predict and analysing of gamma-ray spectrum. In this study, gamma ray spectrum from 22Na source detected in NaI (Tl) detector was estimated by ANN. There have been installed ten different ANN models to find the network structure that produces the best predictive value for the gamma ray spectrum NaI (Tl) Detector. Estimation study has been continued with the ANN model with be possessed of lowest error value. ANN model was created by using energy, distance and gamma-rays energy spectrum (called Io) values. In the ANN model developed using the feed forward back propagation algorithm, were used artificial neurons two in the input layer, ten in the hidden layer and one in the output layer. For the case of present work, the experimental data was used 70% for education, 20% for validation and 10% for testing. The estimated values obtained with the ANN model were compared with the experimental results and a good correlation has been found between them (R2 = 0.99).en_US
dc.identifier.doi10.1016/j.radphyschem.2022.110558
dc.identifier.issn0969-806X
dc.identifier.issn1879-0895
dc.identifier.scopus2-s2.0-85139596189en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.radphyschem.2022.110558
dc.identifier.urihttps://hdl.handle.net/11467/8667
dc.identifier.volume202en_US
dc.identifier.wosWOS:000871103100007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofRadiation Physics And Chemistryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzWoS_2024en_US
dc.subjectGamma ray spectrumen_US
dc.subject22Na sourceen_US
dc.subjectANNen_US
dc.subjectBack propagation algorithmen_US
dc.titlePrediction of gamma ray spectrum for 22Na source by feed forward back propagation ANN modelen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu