Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39
New technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied a neural network of opposite propagation. Effective selectio...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Institute for Nuclear Research, National Academy of Sciences of Ukraine
2006-12-01
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Series: | Âderna Fìzika ta Energetika |
Online Access: | http://jnpae.kinr.kiev.ua/18(2)/Articles_PDF/jnpae-2006-2(18)-0143-Onishchuk_fin.pdf |
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author | Yu. Onishchuk S. Gorbachov S. Yurchenko |
author_facet | Yu. Onishchuk S. Gorbachov S. Yurchenko |
author_sort | Yu. Onishchuk |
collection | DOAJ |
description | New technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial
neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied
a neural network of opposite propagation. Effective selection of different tracks types and their discrimination
from noises was achieved. Due to this the energy resolution of technique was improved. Presented approach is very
perspective alternative of tracks discrimination as the traditional methods of shapes algorithmization are too complicated
and dependent on scanning conditions. |
first_indexed | 2024-04-12T14:26:17Z |
format | Article |
id | doaj.art-62dfae1b671445c2b9d60aa0903c2b55 |
institution | Directory Open Access Journal |
issn | 1818-331X 2074-0565 |
language | English |
last_indexed | 2024-04-12T14:26:17Z |
publishDate | 2006-12-01 |
publisher | Institute for Nuclear Research, National Academy of Sciences of Ukraine |
record_format | Article |
series | Âderna Fìzika ta Energetika |
spelling | doaj.art-62dfae1b671445c2b9d60aa0903c2b552022-12-22T03:29:26ZengInstitute for Nuclear Research, National Academy of Sciences of UkraineÂderna Fìzika ta Energetika1818-331X2074-05652006-12-0172(18)143147Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39Yu. Onishchuk0S. Gorbachov1S. Yurchenko2Taras Shevchenko National University, Kyiv, UkraineInstitute of Radiation Protection, Academy of Technological Sciences of Ukraine, Kyiv, UkraineTaras Shevchenko National University, Kyiv, Ukraine; Institute for Nuclear Research, National Academy of Sciences of Ukraine, Kyiv, UkraineNew technique of alpha spectrometry with usage of solid state nuclear track detectors, based on application of artificial neural networks, was described. For tracks images recognition, which was obtained by optical microscope, we applied a neural network of opposite propagation. Effective selection of different tracks types and their discrimination from noises was achieved. Due to this the energy resolution of technique was improved. Presented approach is very perspective alternative of tracks discrimination as the traditional methods of shapes algorithmization are too complicated and dependent on scanning conditions.http://jnpae.kinr.kiev.ua/18(2)/Articles_PDF/jnpae-2006-2(18)-0143-Onishchuk_fin.pdf |
spellingShingle | Yu. Onishchuk S. Gorbachov S. Yurchenko Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 Âderna Fìzika ta Energetika |
title | Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 |
title_full | Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 |
title_fullStr | Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 |
title_full_unstemmed | Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 |
title_short | Application of the artificial neural networks for alpha spectrometry by means of plastic detector CR-39 |
title_sort | application of the artificial neural networks for alpha spectrometry by means of plastic detector cr 39 |
url | http://jnpae.kinr.kiev.ua/18(2)/Articles_PDF/jnpae-2006-2(18)-0143-Onishchuk_fin.pdf |
work_keys_str_mv | AT yuonishchuk applicationoftheartificialneuralnetworksforalphaspectrometrybymeansofplasticdetectorcr39 AT sgorbachov applicationoftheartificialneuralnetworksforalphaspectrometrybymeansofplasticdetectorcr39 AT syurchenko applicationoftheartificialneuralnetworksforalphaspectrometrybymeansofplasticdetectorcr39 |