Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures

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Datum:2022
Hauptverfasser: Ye. V. Bodianskyi, I. P. Pliss, Yu. Shafronenko
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2022
Schriftenreihe:Artificial intelligence
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0001345966
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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 Ye. V. Bodianskyi
I. P. Pliss
Yu. Shafronenko
author_facet Ye. V. Bodianskyi
I. P. Pliss
Yu. Shafronenko
author_sort Ye. V. Bodianskyi
collection Open-Science
first_indexed 2025-07-17T09:31:38Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
last_indexed 2025-07-17T09:31:38Z
publishDate 2022
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series Artificial intelligence
spelling open-sciencenbuvgovua-11622023-09-12T18:00:08Z Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures Ye. V. Bodianskyi I. P. Pliss Yu. Shafronenko 2710-1673 2022 en Artificial intelligence http://jnas.nbuv.gov.ua/article/UJRN-0001345966 Article
spellingShingle Artificial intelligence
Ye. V. Bodianskyi
I. P. Pliss
Yu. Shafronenko
Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title_full Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title_fullStr Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title_full_unstemmed Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title_short Adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
title_sort adaptive neuro-fuzzy clustering of distorted data based on prototype-centroid strategy using evolutionary procedures
url http://jnas.nbuv.gov.ua/article/UJRN-0001345966
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AT ippliss adaptiveneurofuzzyclusteringofdistorteddatabasedonprototypecentroidstrategyusingevolutionaryprocedures
AT yushafronenko adaptiveneurofuzzyclusteringofdistorteddatabasedonprototypecentroidstrategyusingevolutionaryprocedures