Yayın: Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network
Tarih
Kurum Yazarları
Küçük, İlker Semih
Yazarlar
Yıldırım, Tacettin
Gasanly, Nizami Mamed
Özkan, Hüsnü
Danışman
Dil
Türü
Yayıncı:
Pergamon-Elsevier Science
Dergi Başlığı
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Cilt Başlığı
Özet
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.
Açıklama
Kaynak:
Anahtar Kelimeler:
Konusu
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
Alıntı
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.