Application of neural network algorithms to optimize the development of residential neighbourhoods
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Application of neural network algorithms to optimize the development of residential neighbourhoods
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| Автор |
Salnikov, V.
Pridvizhkin, S. Prokhorov, V. Tokhtuev, A. |
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| Описание |
The paper presents proposals for the use of neural network algorithms to optimize the development of residential neighbourhoods: the corresponding model is shown, its features are discussed, the relevance and prospects for the development of the proposed approach in the planning of new residential neighbourhoods are substantiated. The proposed model allows to optimize the economic efficiency of residential neighbourhoods by varying the parameters of their design, construction, and operation, considering the characteristics of the life cycle of construction and investment projects. © WFCES 2023
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| Дата |
2024-04-05T16:32:40Z
2024-04-05T16:32:40Z 2023 |
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| Тип |
Conference Paper
Conference object (info:eu-repo/semantics/conferenceObject) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
Salnikov, V, Pridvizhkin, S, Prokhorov, V & Tokhtuev, A 2023, 'Application of neural network algorithms to optimize the development of residential neighbourhoods', E3S Web of Conferences, Том. 419, 02033. https://doi.org/10.1051/e3sconf/202341902033
Salnikov, V., Pridvizhkin, S., Prokhorov, V., & Tokhtuev, A. (2023). Application of neural network algorithms to optimize the development of residential neighbourhoods. E3S Web of Conferences, 419, [02033]. https://doi.org/10.1051/e3sconf/202341902033 2555-0403 Final All Open Access, Gold, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171542536&doi=10.1051%2fe3sconf%2f202341902033&partnerID=40&md5=153baef47b843855ef209b01effe59c1 https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/56/e3sconf_wfces2023_02033.pdf http://elar.urfu.ru/handle/10995/130786 10.1051/e3sconf/202341902033 85171542536 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
EDP Sciences
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| Источник |
E3S Web of Conferences
E3S Web of Conferences |
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