UDC 336.1
DOI: 10.36871/ek.up.p.r.2023.02.03.014
Authors
Elena A. Nagaeva,
Anna I. Galushkina,
Nizhny Novgorod State Linguistic University
named after N. A. Dobrolyubov, Nizhny Novgorod, Russia
Abstract
The article is devoted to the effective application of artificial intelligence models in various fields, including in the field of assessing the economic condition, which can increase the speed of data processing, deepen the degree of data analysis and reduce labor costs, thereby increasing the effectiveness of monitoring the economic condition of organizations. To predict the economic state of an organization, you can use the mathematical theory of catastrophes, which is a research program for studying and predicting the instability of various systems.
Keywords
artificial intelligence, neural network, economic state, assessment, industry, disaster theory.
