Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network

KÜÇÜK, İLKER; YILDIRIM, TACETTİN; Gasanly, NIZAMI; Ozkan, Husnu

doi:10.1016/j.eswa.2010.12.040

Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network

KÜÇÜK İ., YILDIRIM T., Gasanly N., Ozkan H.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.38, sa.6, ss.7192-7194, 2011 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 38 Sayı: 6
Basım Tarihi: 2011
Doi Numarası: 10.1016/j.eswa.2010.12.040
Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.7192-7194
Orta Doğu Teknik Üniversitesi Adresli: Evet

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. (C) 2010 Elsevier Ltd. All rights reserved.