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https://elib.psu.by/handle/123456789/29827Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Khvatynets, V. | en |
| dc.contributor.author | Parfenova, L. | en |
| dc.date.accessioned | 2022-02-25T07:16:35Z | - |
| dc.date.available | 2022-02-25T07:16:35Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Khvatynets, V. Methods for testing formulations for a construction 3D printer / V. Khvatynets, L. Parfenova // European and National Dimension in Research = Европейский и национальный контексты в научных исследованиях : electronic collected materials of XIII Junior Researchers' Conference, Novopolotsk, May 17-21, 2021 : in 3 parts / Ministry of Education of Belarus, Polotsk State University ; ed. Dr. Yury Holubeu [et al.]. - Novopolotsk : PSU, 2021. - Part 3 : Technology. - P. 16-17. | ru |
| dc.identifier.uri | https://elib.psu.by/handle/123456789/29827 | - |
| dc.description.abstract | In the paper various possibilities of using artificial neural networks as a tool for modeling physical processes are considered. The main advantages and disadvantages of computer modeling using ANNs in comparison with classical approaches to constructing mathematical models are revealed. The main tasks for solving the successful construction of the model are highlighted. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Полоцкий государственный университет | ru_RU |
| dc.title | Methods for testing formulations for a construction 3D printer | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | European and National Dimension in Research. Technology. 2021 | |
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