| Issue |
E3S Web Conf.
Volume 419, 2023
V International Scientific Forum on Computer and Energy Sciences (WFCES 2023)
|
|
|---|---|---|
| Article Number | 02033 | |
| Number of page(s) | 8 | |
| Section | Applied IT Technologies in Energy and Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202341902033 | |
| Published online | 25 August 2023 | |
Application of neural network algorithms to optimize the development of residential neighbourhoods
1 Ural Federal University, Institute of Civil Engineering and Architecture, Ekaterinburg, Russia
2 Institute of Planning, Architecture and Design, Ekaterinburg, Russia
* Corresponding author: viktor.salnikov@urfu.ru
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.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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