Subject. This article focuses on the issues of evolutionary neural network modeling of the impact of digital technologies on economic development. Objectives. The article aims to study evolutionary neural network modeling of the impact of digital technologies on the economic development of the regions of Russia. The article also aims to identify regions that are leaders where the impact is positive and significant, as well as regions with prospects for such positive influence. Results. The article presents the author-developed methodology for evolutionary neural network modeling of the impact of digital technologies on the economic development of regions. Conclusions and Relevance. The results obtained can be useful for government agencies to plan digitalization processes in regions mentioned. Investors can also use these results to choose the area of capital investment of their funds.
Keywords: adaptive neuro fuzzy inference system, particle swarm optimization, time series prediction, digital technologies
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