APPLICATION OF NEURAL NETWORKS FOR FORECASTING THE NUMBER OF UNEMPLOYED IN THE CFD OF THE RUSSIAN FEDERATION
This article includes an analysis of the number of citizens falling into the category of unemployed who are registered in state employment service institutions, and who received unemployment benefits from 2012 to 2019. in the central federal district of the Russian Federation. The purpose of this study is to predict the number of unemployed for 2020 in the Central Federal District of the Russian Federation using the tools of neural networks.