Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network
EXPERT SYSTEMS WITH APPLICATIONS, vol.38, no.6, pp.7192-7194, 2011 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 38 Issue: 6
- Publication Date: 2011
- Doi Number: 10.1016/j.eswa.2010.12.040
- Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.7192-7194
- Middle East Technical University Affiliated: Yes
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. (C) 2010 Elsevier Ltd. All rights reserved.