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 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 6
  • Publication Date: 2011
  • Doi Number: 10.1016/j.eswa.2010.12.040
  • Title of Journal : EXPERT SYSTEMS WITH APPLICATIONS
  • Page Numbers: pp.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. (C) 2010 Elsevier Ltd. All rights reserved.