UDC 004.415.2

Authors

Vahtinskaya M.A.
Plekhanov Russian University of Economics, Moscow, Russia
Ignatenko K.A.
Plekhanov Russian University of Economics, Moscow, Russia
Savinova V.M.
Plekhanov Russian University of Economics, Moscow, Russia

Abstract

The current stage of transition to a digital economy is characterized by changes in the labor market environment at both the regional and federal levels. In this regard, issues of forecasting unemployment rates in order to support decision-making are becoming increasingly relevant. In the framework of this work, forecasting of the basic indicators of the labor market of the Russian Federation is carried out using the multilayer perceptron model. Computer experiments were conducted to build a retroforecast of indicators, and the accuracy and quality of the constructed model were calculated.

Keywords

Forecasting, Decision support system, Artificial neural network, Unemployed