Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/29850
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dc.contributor.authorDovgulevich, D.en
dc.date.accessioned2022-02-25T07:16:38Z-
dc.date.available2022-02-25T07:16:38Z-
dc.date.issued2021-
dc.identifier.citationDovgulevich, D. Artificial neural networks as a tool for simulating physical processes / D. Dovgulevich // 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. 200-201.ru
dc.identifier.urihttps://elib.psu.by/handle/123456789/29850-
dc.description.abstractThe article deals with the influence of the amount of water consumption by one consumer per hour of maximum water consumption in the hot water supply system of multi-apartment residential buildings on the diameters of pipelines of a water supply network. It is shown that with an increase in the values of this flow rate, the material characteristic of the hot water pipeline network monotonically increases what leads to an increase in capital costs. However, this effect is negligible. The conclusions made in this article can be used for discrete optimization of the diameters of the pipelines of centralized hot water supply systems of multi-apartment residential buildings.ru_RU
dc.language.isoenru_RU
dc.publisherПолоцкий государственный университетru_RU
dc.titleArtificial neural networks as a tool for simulating physical processesru_RU
dc.typeArticleru_RU
Appears in Collections:European and National Dimension in Research. Technology. 2021

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