Computational modeling of thermoluminescence glow curves of zinc borate crystals

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...

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Bibliographic Details
Published in:Journal of inequalities and applications 2013-03, Vol.2013 (1), p.1-7, Article 136
Main Authors: Kucuk, Nil, Kucuk, Ilker
Format: Article
Language:English
Subjects:
Analysis
Applications of Mathematics
Crystals
Genetic algorithms
Glow curves
Inequalities
Learning
Mathematical models
Mathematics
Mathematics and Statistics
Proceedings of the International Congress in Honour of Professor Hari M. Srivastava
Thermoluminescence
Zinc borate
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Summary: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. PACS Codes: 78.60.Kn, 87.53.Bn.
ISSN:1029-242X
1025-5834
1029-242X
DOI:10.1186/1029-242X-2013-136