Software and neural network support of regional economic systems activity in modern digital environment

Abstract

Modern software and neural network tools ensure the effectiveness of digitalisation as a process of transformation of economic processes at all levels of the national economy. The object of the study is the digital economy. The subject of the study is the means of digitalisation: software and neural network. The purpose of the study is to examine the use of software and neural network tools to support the activities of regional economic systems in the modern digital environment. The article reveals the content of the concept of neural network, types of neural networks and their graphical interpretation. Neural networks bring revolutionary changes in the field of economic modelling, providing increased accuracy and predictability of economic forecasts, imitating the functions of the human brain, allowing to analyse vast amounts of complex data and identify significant patterns and ideas. One of the significant advantages of neural networks in economic modelling is their ability to analyse non-linear relationships between variables. Neural networks are highly adaptive and flexible, able to dynamically change their structure and weights in response to new data, which enables continuous learning and development.