Neural Network Modeling of the Social and Economic, Investment and Innovation Policy of the State

Abstract

The aim of the study is for a neural network modeling of changes in the main ways of the state social and economic, investment and innovation policy in Ukraine to improve the state management, and formation of the socially and innovatively oriented national economy. A numerical experiment was conducted using neural network modeling. The proposed neural network model is based on social and economic, investment and innovation development indicators of Ukraine and the leading countries of the world. Indicators describing the results of Ukraine's state policy for 2000-2021 have been utilized in the neural model. The developed model made it possible to determine the factors that can contribute to the growth of Ukraine's GDP and forecast the growth of the country's economy. The following results were obtained: public fixed investment and financing of innovative activities from the state budget has the highest influence over the economic growth of the country, equally important for the economic development is the increase of R&D funding from the state budget and government expenditure on education. The neural network model for forecasting and evaluation of the social and economic, investment and innovation policy of the state allows predicting the main directions of resource allocation and budgeting. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).