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Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network
Date
2011-6
Author
Kucuk, Ilker
Yildirim, Tacettin
Hasanlı, Nızamı
Ozkan, Husnu
Metadata
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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.
Subject Keywords
Semiconductors
,
Thermally stimulated current
,
Neural network
,
Genetic algorithm
URI
https://hdl.handle.net/11511/28439
Journal
Expert Systems with Applications
DOI
https://doi.org/10.1016/j.eswa.2010.12.040
Collections
Department of Physics, Article