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...

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Main Authors: Yu. Onishchuk, S. Gorbachov, S. Yurchenko
Format: Article
Language:English
Published: Institute for Nuclear Research, National Academy of Sciences of Ukraine 2006-12-01
Series:Ядерна фізика та енергетика
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.
format Article
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institution OA Journals
issn 1818-331X
2074-0565
language English
publishDate 2006-12-01
publisher Institute for Nuclear Research, National Academy of Sciences of Ukraine
record_format Article
series Ядерна фізика та енергетика
spelling doaj-art-62dfae1b671445c2b9d60aa0903c2b552025-08-20T02:35:14ZengInstitute for Nuclear Research, National Academy of Sciences of UkraineЯдерна фізика та енергетика1818-331X2074-05652006-12-0172(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
Ядерна фізика та енергетика
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