Artificial intelligence and neural networks - tools for cadastral valuation of real estate as part of the national spatial data system
Автор: Pylaeva A.V., Akinin M.V.
Журнал: Имущественные отношения в Российской Федерации @iovrf
Рубрика: Региональная и отраслевая экономика - экономика и управление хозяйством
Статья в выпуске: 4 (271), 2024 года.
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The article examines the regulatory legal and scientific and practical aspects of the use of artificial intelligence (AI) technologies in the activities of the Federal Service for State Registration, cadastre and cartography in determining the cadastral value of real estate. Using practical examples, the main types, methods and conditions for the use of AI implemented in the Federal State Information System «Unified Digital Platform «National Spatial Data System» are considered. It is concluded that to study pricing factors, the degree and type of their influence on the cadastral value, specialized types of neural networks can be used - a neural network that implements the principal component method and an «autoencoder» neural network.
National spatial data system, principal network component analysis, pca neural network, autoencoder neural network, digital territory model
Короткий адрес: https://sciup.org/170207841
IDR: 170207841 | DOI: 10.24412/2072-4098-2024-4271-23-31