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/11452/23893
Title: Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network
Authors: Yıldırım, Tacettin
Gasanly, Nizami Mamed
Özkan, Hüsnü
Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Anabilim Dalı.
Küçük, İlker Semih
6602910810
Keywords: Computer science
Engineering
Operations research & management science
Semiconductors
Thermally stimulated current
Neural network
Genetic algorithm
Optical-properties
Trap distribution
Absorption
Photoconductivity
Tlins2
Genetic algorithms
Single crystals
Thermoluminescence
Artificial neural network approach
As-grown
Experimental data
Multi-layered
Perceptron neural networks
Semiconductors
Thermally stimulated current
Neural networks
Issue Date: Jun-2011
Publisher: Pergamon-Elsevier Science
Citation: Küçük, İ. vd. (2011). "Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network". Expert Systems with Applications, 38(6), 7192-7194.
Abstract: This paper presents an artificial neural network approach to compute thermally stimulated current (TSC) in as-grown T1GaSeS layered single crystals. The experimental data have been obtained from TSC measurements. The network has been trained by a genetic algorithm (GA). The results confirmed that the proposed model could provide an accurate computation of the TSC.
URI: https://doi.org/10.1016/j.eswa.2010.12.040
http://hdl.handle.net/11452/23893
ISSN: https://dl.acm.org/doi/abs/10.1016/j.eswa.2010.12.040
0957-4174
1873-6793
Appears in Collections:Scopus
Web of Science

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