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Electronic National Technical University "Kharkiv Polytechnic Institute" Institutional Repository (eNTUKhPIIR)
Thesis . 2022
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Використання методів машинного навчання у задачах прогнозування механічної поведінки матеріалів

descriptionPublicationkeyboard_double_arrow_right Thesis 01 Jan 2022 Ukraine Ukrainian Publisher:Національний технічний університет "Харківський політехнічний інститут"

Використання методів машинного навчання у задачах прогнозування механічної поведінки матеріалів

Country
Ukraine
Related Organizations
Keywords

методи машинного навчання, мікроструктура матеріалу, навчання нейронної мережі, апроксимація скінчено-елементного рішення задач, згорткова нейронна мережа, штучний інтелект, апроксимація задач механіки, деформування плоского зразку, дисперсійно-зміцнений композит, інформаційні технології, напружено-деформований стан, параметрична розрахункова модель, НДС, аналітичні моделі, сурогатна модель, комп'ютерні технології керування

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green