Application of neural networks for the prediction of dynamics of real estate prices in the Smolensk region

The article considers the possibility of using automated neural networks of the STATISTICA package for analyzing and forecasting a time series composed of quarterly data. A comparison is made of real estate prices and those obtained using the constructed model. Conducted quality control of the developed model. Based on the neural network, a real estate price forecast for the years 2019-2020 has been made.