TY - JOUR

T1 - Correction coefficients of neural network algorithms for assessing the development of residential neighborhoods

AU - Salnikov, Viktor

AU - Pridvizhkin, Stanislav

AU - Tokhtuev, Atrem

PY - 2024/1/1

Y1 - 2024/1/1

N2 - The paper presents the correction coefficients of neural network algorithms for assessing the development of residential neighborhoods: the corresponding model of correction coefficients is shown, its features are discussed, the relevance and prospects for the use of correction coefficients in the planning of new neighborhoods are substantiated. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).

AB - The paper presents the correction coefficients of neural network algorithms for assessing the development of residential neighborhoods: the corresponding model of correction coefficients is shown, its features are discussed, the relevance and prospects for the use of correction coefficients in the planning of new neighborhoods are substantiated. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85183299184

U2 - 10.1051/e3sconf/202447401073

DO - 10.1051/e3sconf/202447401073

M3 - Conference article

VL - 474

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2261-236X

M1 - 01073

T2 - 10th International Annual Conference on Industrial Technologies and Engineering, ICITE 2023

Y2 - 9 November 2023

ER -