Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning

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Datum:2024
Hauptverfasser: O. M. Stankevych, D. P. Rebot
Format: Artikel
Sprache:English
Veröffentlicht: 2024
Schriftenreihe:Materials Science (Physicochemical mechanics of materials)
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001508507
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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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spelling open-sciencenbuvgovua-1130092024-12-23T18:44:55Z Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning O. M. Stankevych D. P. Rebot 0430-6252 2024 en Materials Science (Physicochemical mechanics of materials) http://jnas.nbuv.gov.ua/article/UJRN-0001508507 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Materials Science (Physicochemical mechanics of materials)
spellingShingle Materials Science (Physicochemical mechanics of materials)
O. M. Stankevych
D. P. Rebot
Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
format Article
author O. M. Stankevych
D. P. Rebot
author_facet O. M. Stankevych
D. P. Rebot
author_sort O. M. Stankevych
title Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
title_short Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
title_full Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
title_fullStr Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
title_full_unstemmed Methods of artificial intelligence for acoustic emission diagnostics of fracture stages (A review). P. 2: Artificial neural network and deep learning
title_sort methods of artificial intelligence for acoustic emission diagnostics of fracture stages (a review). p. 2: artificial neural network and deep learning
publishDate 2024
url http://jnas.nbuv.gov.ua/article/UJRN-0001508507
work_keys_str_mv AT omstankevych methodsofartificialintelligenceforacousticemissiondiagnosticsoffracturestagesareviewp2artificialneuralnetworkanddeeplearning
AT dprebot methodsofartificialintelligenceforacousticemissiondiagnosticsoffracturestagesareviewp2artificialneuralnetworkanddeeplearning
first_indexed 2024-12-24T04:07:59Z
last_indexed 2024-12-24T04:07:59Z
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