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

  • Authors:

  • Ilker Kucuk;Tacettin Yildirim;Nizami M. Gasanly;Husnu Ozkan

  • Affiliations:

  • Physics Department, Faculty of Arts and Sciences, Uludag University, Gorukle Campus, 16059 Bursa, Turkey and Department of Physics, Middle East Technical University, 06531 Ankara, Turkey;Department of Physics, Faculty of Arts and Sciences, Nevşehir University, Avanos Yolu, 50300 Nevşehir, Cappadoccia, Turkey and Department of Physics, Middle East Technical University, 06 ...;Department of Physics, Middle East Technical University, 06531 Ankara, Turkey;Department of Physics, Middle East Technical University, 06531 Ankara, Turkey

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

This paper presents an artificial neural network approach to compute thermally stimulated current (TSC) in as-grown TlGaSeS 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.