Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area
Апстракт
The application of the principal component analysis and artificial neural network method in forecasting Cs-137 behaviour in the air as the function of meteorological parameters is presented. The model was optimized and tested using Cs-137 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 Cs-137 specific activities and those predicted by artificial neural network was obtained. This suggests that artificial neural network in the case of prediction of Cs-137 specific activity; using temperature, insolation, and global Sun warming does not perform well, which can be explained by the relative independence of Cs-137 specific activity of particular meteorological parameters and not by the ineffectiveness of artificial neural network in relating these parameters in general.
Кључне речи:
neural network / gamma-ray spectrometry / air / Cs-137Извор:
Nuclear technology and radiation protection, 2014, 29, 3, 226-232Финансирање / пројекти:
- Примена наноматеријала у унапређењу средстава респираторне и перкутане заштите у условима еколошког дисбаланса изазваног радиоактивном, хемијском и биолошком контаминацијом (RS-MESTD-Technological Development (TD or TR)-34034)
DOI: 10.2298/NTRP1403226S
ISSN: 1451-3994
WoS: 000343688300009
Scopus: 2-s2.0-84926621873
Колекције
Институција/група
VinčaTY - JOUR AU - Samolov, Aleksandra D. AU - Dragović, Snežana D. AU - Daković, Marko Z. AU - Bačić, Goran G. PY - 2014 UR - https://vinar.vin.bg.ac.rs/handle/123456789/166 AB - The application of the principal component analysis and artificial neural network method in forecasting Cs-137 behaviour in the air as the function of meteorological parameters is presented. The model was optimized and tested using Cs-137 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 Cs-137 specific activities and those predicted by artificial neural network was obtained. This suggests that artificial neural network in the case of prediction of Cs-137 specific activity; using temperature, insolation, and global Sun warming does not perform well, which can be explained by the relative independence of Cs-137 specific activity of particular meteorological parameters and not by the ineffectiveness of artificial neural network in relating these parameters in general. T2 - Nuclear technology and radiation protection T1 - Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area VL - 29 IS - 3 SP - 226 EP - 232 DO - 10.2298/NTRP1403226S ER -
@article{ author = "Samolov, Aleksandra D. and Dragović, Snežana D. and Daković, Marko Z. and Bačić, Goran G.", year = "2014", abstract = "The application of the principal component analysis and artificial neural network method in forecasting Cs-137 behaviour in the air as the function of meteorological parameters is presented. The model was optimized and tested using Cs-137 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 Cs-137 specific activities and those predicted by artificial neural network was obtained. This suggests that artificial neural network in the case of prediction of Cs-137 specific activity; using temperature, insolation, and global Sun warming does not perform well, which can be explained by the relative independence of Cs-137 specific activity of particular meteorological parameters and not by the ineffectiveness of artificial neural network in relating these parameters in general.", journal = "Nuclear technology and radiation protection", title = "Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area", volume = "29", number = "3", pages = "226-232", doi = "10.2298/NTRP1403226S" }
Samolov, A. D., Dragović, S. D., Daković, M. Z.,& Bačić, G. G.. (2014). Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area. in Nuclear technology and radiation protection, 29(3), 226-232. https://doi.org/10.2298/NTRP1403226S
Samolov AD, Dragović SD, Daković MZ, Bačić GG. Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area. in Nuclear technology and radiation protection. 2014;29(3):226-232. doi:10.2298/NTRP1403226S .
Samolov, Aleksandra D., Dragović, Snežana D., Daković, Marko Z., Bačić, Goran G., "Neural Networks in Analysing 137Cs Behaviour in the Air in the Belgrade Area" in Nuclear technology and radiation protection, 29, no. 3 (2014):226-232, https://doi.org/10.2298/NTRP1403226S . .