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

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.