Computational modeling of thermoluminescence glow curves of zinc borate crystals

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Atıf İçin Kopyala

KÜÇÜK N., KÜÇÜK İ.

JOURNAL OF INEQUALITIES AND APPLICATIONS, 2013 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası:
• Basım Tarihi: 2013
• Doi Numarası: 10.1186/1029-242x-2013-136
• Dergi Adı: JOURNAL OF INEQUALITIES AND APPLICATIONS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Bursa Uludağ Üniversitesi Adresli: Evet

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.