Yayın: Computational modeling of thermoluminescence glow curves of zinc borate crystals
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Tarih
Kurum Yazarları
Küçük, Nil
Küçük, İlker Semih
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Yayıncı:
Springer
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Özet
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.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
Mathematics, Dosimetric materials, Thermoluminescence glow curve, Thermally stimulated luminescence, Modeling, Perception neural-networks, Deconvolution cgcd, Magnetic cores, Prediction, Parameters, Dependence
Alıntı
Küçük, N. ve Küçük, İ. (2013). “Computational modeling of thermoluminescence glow curves of zinc borate crystals”. Journal of Inequalities and Applications, 2013.