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

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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

Collections

Department of Physics, Article