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

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Citation Formats

I. Kucuk, T. Yildirim, N. Hasanlı, and H. Ozkan, “Estimation of thermally stimulated current in as grown TlGaSeS layered single crystals by multilayered perceptron neural network,” Expert Systems with Applications, pp. 7192–7194, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28439.