Choice of informative input parameters for inverse neural network models of observed systems

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Datum:2016
Hauptverfasser: N. I. Obodan, N. A. Huk, O. S. Mahas
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2016
Schriftenreihe:Mathematical methods and physicomechanical fields
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0000710507
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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 N. I. Obodan
N. A. Huk
O. S. Mahas
author_facet N. I. Obodan
N. A. Huk
O. S. Mahas
author_sort N. I. Obodan
collection Open-Science
first_indexed 2025-07-17T22:56:01Z
format Article
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2016
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series Mathematical methods and physicomechanical fields
spelling open-sciencenbuvgovua-520372024-02-29T13:04:09Z Choice of informative input parameters for inverse neural network models of observed systems N. I. Obodan N. A. Huk O. S. Mahas 0130-9420 2016 en Mathematical methods and physicomechanical fields http://jnas.nbuv.gov.ua/article/UJRN-0000710507 Article
spellingShingle Mathematical methods and physicomechanical fields
N. I. Obodan
N. A. Huk
O. S. Mahas
Choice of informative input parameters for inverse neural network models of observed systems
title Choice of informative input parameters for inverse neural network models of observed systems
title_full Choice of informative input parameters for inverse neural network models of observed systems
title_fullStr Choice of informative input parameters for inverse neural network models of observed systems
title_full_unstemmed Choice of informative input parameters for inverse neural network models of observed systems
title_short Choice of informative input parameters for inverse neural network models of observed systems
title_sort choice of informative input parameters for inverse neural network models of observed systems
url http://jnas.nbuv.gov.ua/article/UJRN-0000710507
work_keys_str_mv AT niobodan choiceofinformativeinputparametersforinverseneuralnetworkmodelsofobservedsystems
AT nahuk choiceofinformativeinputparametersforinverseneuralnetworkmodelsofobservedsystems
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