Possibilities of Neural Networks in Legal Regulation of Land Management and Land Registry

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Abstract

The purpose of the research. The article deals with the problems of state regulation of land management relations. The principles of operation of neural networks and individual neural network modules, the possibilities of their application in legal activity are analyzed. The purpose of the study is to identify ways to use modern neural network algorithms to improve legal regulation of land management and land registry, as well as to improve the efficiency of land use. Results. As a result of the research, the author comes to the conclusion that at the present stage of technology development and digitalization, neural networks can be used to analyze data from the Unified State Register of Real Estate and the State Fund of Data obtained as a result of land management, automation of planning and rational use of land, updating of cartographic materials, optimization of land management procedures and reduction of excessive regulation. The author also identifies the features of neural networks, risks and difficulties that need to be taken into account when introducing modern technologies into the process of regulating land management relations.

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About the authors

Anton A. Dereglazov

Financial University under the Government of the Russian Federation

Author for correspondence.
Email: an_dereglazov@mail.ru

postgraduate student of the International and Public Law Department of the Law Faculty at Financial University under the Government of the Russian Federation

Russian Federation, Moscow

References

  1. Federal Law N. 218-FZ of 13.07.2015 «On State registration of Real estate» // Rossiyskaya Gazeta, N. 156, 17.07.2015.
  2. Federal Law N. 78-FZ of 18.06.2001 «On Land Management» // Rossiyskaya Gazeta, N. 118–119, 23.06.2001.
  3. Resolution of the Government of the Russian Federation of July 11 N. 514, 2002 «On Approval of the Regulations on the Coordination and approval of Land Management documentation, creation and Maintenance of the State Fund of data obtained as a result of Land Management» // «Rossiyskaya Gazeta», N. 129, 07/17/2002.
  4. Resolution of the Government of the Russian Federation of February 6, 2021 N. 128 «On approval of the Rules for the formation, maintenance and updating of the register of mandatory requirements» // Collection of Legislation of the Russian Federation of February 15, 2021 N. 7, Article 1132.
  5. Averyanova N.N. Improvement of the land management system in the context of spatial development of Russia // Economy and law. 2022. N 4. pp. 73–81.
  6. Kasso L.A. Russian land law. M., 1906. p. 197.
  7. Lipsky S.A. Features of the current moment in the development of legislation on land management // Legal issues of real estate. 2022. N 2. pp. 3–9.
  8. Ustimova S.A., Veriga D.A. Problems and prospects of digital land management // Civilist. 2022. N 3. pp. 21–25.
  9. Shaibakov, R. A. The use of neural network apparatus for identification of boundaries of geological objects // Technical sciences: traditions and innovations: materials of the I International Scientific Conference. Chelyabinsk, 2012. pp. 8–11.
  10. Kim D. Research on Text Classification Based on Deep Neural Network // International Journal of Communication Networks and Information Security. Dongseo University: Busan, Republic of Korea. p. 100–113.
  11. Murong R. Research on Land Renovation Planning Strategy based on Digital Surveying and Mapping Technology // Frontiers in Science and Engineering. 2022. p. 61–66. URL: https://doi.org/10.54691/fse.v2i12.3289 (дата обращения: 22.03.2023).
  12. Nguyen H., Phi M., Ngo X. Attentive deep neural networks for legal document retrieval // Artif Intell Law, 2022. p. 14 // URL: https://doi.org/10.1007/s10506-022-09341-8 (accessed: 27.03.2023).
  13. Petyukova O.N., Tshibola A.M.L. Modernization of the system of state registration of real estate as a factor in the development of state-legal regulation of entrepreneurial activity in the Russian Federation // Scientific and Technical Revolution: Yesterday, Today and Tomorrow. —«Lecture Notes in Networks and Systems» 2020. P. 1159–1165.
  14. Wüthrich M., Merz M. Statistical Foundations of Actuarial Learning and its Applications // Springer Cham. Gewerbestrasse, 2023. p. 605 // URL: https://doi.org/10.1007/978-3-031-12409-9 (accessed: 18.03.2023).
  15. Zhang H. Remote Sensing Data Processing of Urban Land Using Based on Artificial Neural Network // Scientific Programming, 2022. p. 8 // URL.: https://doi.org/10.1155/2022/6994179 (accessed: 27.03.2023).

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