Analysis of the applicability of a simple recurrent neural network to predict the gross regional product

Link for download: Analysis of the applicability of a simple recurrent neural network to predict the gross regional product.docx

Authors: Yulia Valentinovna Granitsa

Annotation: The article explores the possibility of using a simple recurrent neural network to predict the gross regional product. The neural network model is based on panel data, including observations for the period from 1999 to 2023 for 85 subjects of the Russian Federation, taking into account 9 independent variables – regional economic indicators.

Keywords: Forecasting, Recurrent neural networks, Panel data, Gross regional product, Linear interpolation, Loss function