NEURAL NETWORK TOOLS FOR FORECASTING DEMOGRAPHIC PROCESSES IN THE REGION WITHIN THE FRAMEWORK OF BUDGET PLANNING

Abstract

This article describes the developed tools for predicting demographic processes by one-yearolds, based on neural network modeling. Based on the results of the absolute verification of the constructed neural models, it was found that their use is appropriate for predicting demographic processes by one-yearolds in the region within the framework of budget planning due to their high accuracy. Based on the constructed forecast, recommendations are given within the framework of the development of the budget of the Altai Territory for 2024 and for the planning period 2025, 2026. The methodological approach based on the construction and use of neural networks can also be applied in forecasting other indicators of socio-economic development of the region subsequently in order to increase the efficiency of budget allocation. This will have a positive impact on the achievement of the national development goals of the Russian Federation and the solution of existing problems in the region.