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, vol.38, no.6, pp.7192-7194, 2011 (SCI-Expanded) identifier identifier

  • 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.