Abstract
The article explores a formulation of a problem of machine learning for management of a modern urban economy. The 21st century is the boom age of the artificial intelligence development and it makes new demands on the use of digital technologies in municipal management. At the same time, it is important to use machine learning in conjunction with Internet things. The authors investigated how much machine learning can be applied for solving urban problems, as well as in the process of making managerial decisions to manage social and economic development of the territory, in particular when forecasting key indicators of socio-economic development. As a result, the forecasting of the sale of own production in Bryansk with a help of machine learning was explored, which confirmed a possibility of using machine learning in the municipal administration.
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The reported study was funded by RFBR according to the research project No. 18-410-320002\18.
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Kazakov, O.D., Kulagina, N.A., Azarenko, N.Y. (2020). Machine Learning Methods in Municipal Formation. In: Popkova, E. (eds) Growth Poles of the Global Economy: Emergence, Changes and Future Perspectives. Lecture Notes in Networks and Systems, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-030-15160-7_35
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DOI: https://doi.org/10.1007/978-3-030-15160-7_35
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