"

Cookies ussage consent

Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.

I agree, do not show this message again.

Prediction of optical parameters of Sn doped CdO films using neural network

K. ERTURK1, S. KOSE2, F. ATAY2, V. BILGIN2, I. AKYUZ2, M. C. HACIISMAILOGLU1, I. KUCUK1,* , N. DEREBASI1

Affiliation

  1. Uludag University, Department of Physics, 16059 Gorukle, Bursa, Turkey
  2. Osmangazi University, Department of Physics, 26480 Eskisehir, Turkey

Abstract

In recent years, there was great interest and demand for the production and investigation of low cost and novel transparent conducting oxide films. CdO is a promising material among these films for future applications with its unique properties. A learning and generalization ability, real-time operation, and ease of implementation have made an artificial neural network popular in recent years. In this work we have produced CdO:Sn films by the ulrasonic spray pyrolysis technique which is economical and simple to process. Optical parameters of Sn doped CdO films with developed, have been estimated by the artificial neural network using experimental results as a training data. The correlation obtain from the artificial neural network was found to be 99% with the experimental results..

Keywords

Cadmium oxide, Spray pyrolysis, Optical properties, Neural Networks, Genetic algorithm.

Submitted at: Sept. 25, 2007
Accepted at: Feb. 18, 2008

Citation

K. ERTURK, S. KOSE, F. ATAY, V. BILGIN, I. AKYUZ, M. C. HACIISMAILOGLU, I. KUCUK, N. DEREBASI, Prediction of optical parameters of Sn doped CdO films using neural network, Journal of Optoelectronics and Advanced Materials Vol. 10, Iss. 2, pp. 335-338 (2008)