1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/32888
Title: Computational modeling of thermoluminescence glow curves of zinc borate crystals
Authors: Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı.
Küçük, Nil
Küçük, İlker Semih
0000-0002-9193-4591
24436223800
6602910810
Keywords: Mathematics
Dosimetric materials
Thermoluminescence glow curve
Thermally stimulated luminescence
Modeling
Perception neural-networks
Deconvolution cgcd
Magnetic cores
Prediction
Parameters
Dependence
Issue Date: Dec-2013
Publisher: Springer
Citation: Küçük, N. ve Küçük, İ. (2013). “Computational modeling of thermoluminescence glow curves of zinc borate crystals”. Journal of Inequalities and Applications, 2013.
Abstract: This work presents a new approach based on multilayered perceptrons (MLPs) to compute the thermoluminescence glow curves in undoped and La-doped zinc borate crystals. The MLP has been trained by a genetic algorithm (GA) and a Levenberg-Marquardt learning algorithm. The results obtained using the MLP models were tested with untrained experimental glow curve data. The comparison has shown that the proposed model can predict more accurately and easily the thermoluminescence glow curves.
URI: https://doi.org/10.1186/1029-242X-2013-136
https://journalofinequalitiesandapplications.springeropen.com/articles/10.1186/1029-242X-2013-136
http://hdl.handle.net/11452/32888
ISSN: 1029-242X
Appears in Collections:Scopus
Web of Science

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