Application of Artificial Intelligence Methods in Quantitative Analysis of Gamma-ray SpectraMedhat ME* and Hafiez AA
Experimental Nuclear Physics Department, Nuclear Research Center, Cairo, Egypt
- *Corresponding Author:
- Medhat ME
Experimental Nuclear Physics Department
Nuclear Research Center
Received August 17, 2015; Accepted September 07, 2015; Published September 11, 2015
Citation: Medhat ME, Hafiez AA (2015) Application of Artificial Intelligence Methods in Quantitative Analysis of Gamma-ray Spectra. J Appl Computat Math 4:252. doi:10.4172/2168-9679.1000252
Copyright: © 2015 Medhat ME, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
An artificial neural network (ANN) has been trained with real-sample spectra of radioactive materials. Following the training stage ANN was applied to a subset of similar samples Results obtained with the ANN method are in good agreement with results obtained from traditional techniques, showing the high potentiality of ANN.