Nuclear Technology and Radiation Protection 2014 Volume 29, Issue 3, Pages: 226-232
https://doi.org/10.2298/NTRP1403226S
Full text ( 305 KB)
Cited by
Neural networks in analysing 137Cs behaviour in the air in the Belgrade area
Samolov Aleksandra D. (Military Technical Institute, Belgrade)
Dragović Snežana D. (Vinča Institute of Nuclear Sciences, Belgrade)
Daković Marko Ž. (Faculty of Physical Chemistry, Belgrade)
Bačić Goran G. (Faculty of Physical Chemistry, Belgrade)
The application of the principal component analysis and artificial neural
network method in forecasting 137Cs behaviour in the air as the function of
meteorological parameters is presented. The model was optimized and tested
using 137Cs specific activities obtained by standard gamma-ray spectrometric
analysis of air samples collected in Belgrade (Serbia) during 2009-2011 and
meteorological data for the same period. Low correlation (r = 0.20) between
experimental values of 137Cs specific activities and those predicted by
artificial neural network was obtained. This suggests that artificial neural
network in the case of prediction of 137Cs specific activity, using
temperature, insolation, and global Sun warming does not perform well, which
can be explained by the relative independence of 137Cs specific activity of
particular meteorological parameters and not by the ineffectiveness of
artificial neural network in relating these parameters in general.
Keywords: neural network, gamma-ray spectrometry, air, 137Cs
Projekat
Ministarstva nauke Republike Srbije, br. TR34034