Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network

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Datum:2009
Hauptverfasser: A. S. Babichev, S. A. Babichev, A. V. Sharko
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2009
Schriftenreihe:Technical diagnostics and non-destructive testing
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0000466621
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author A. S. Babichev
S. A. Babichev
A. V. Sharko
author_facet A. S. Babichev
S. A. Babichev
A. V. Sharko
author_sort A. S. Babichev
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2009
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series Technical diagnostics and non-destructive testing
spelling open-sciencenbuvgovua-1050992024-04-17T18:57:32Z Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network A. S. Babichev S. A. Babichev A. V. Sharko 0235-3474 2009 en Technical diagnostics and non-destructive testing http://jnas.nbuv.gov.ua/article/UJRN-0000466621 Article
spellingShingle Technical diagnostics and non-destructive testing
A. S. Babichev
S. A. Babichev
A. V. Sharko
Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title_full Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title_fullStr Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title_full_unstemmed Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title_short Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network
title_sort model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on bayesian network
url http://jnas.nbuv.gov.ua/article/UJRN-0000466621
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AT sababichev modelofallowingfortheinfluenceofconcurrentfactorsontheaccuracyofdeterminationofmechanicalcharacteristicsofmetalsbasedonbayesiannetwork
AT avsharko modelofallowingfortheinfluenceofconcurrentfactorsontheaccuracyofdeterminationofmechanicalcharacteristicsofmetalsbasedonbayesiannetwork