Neural network technologies in economic analysis of corporate activities

Subject of research – theoretical, methodological and organizational principles of economic analysis of corporations using neural network technologies. The purpose of writing the article is: to become acquainted with the basic analytical capabilities of specialized programs of economic analysis, to identify the main features of neural networks based on nonlinear methods of analysis of economic and financial information, and to substantiate recommendations for the use of neural network technologies for the needs of economic analysis of corporations. Methodology of work. In the course of the research, the following were used: general scientific methods of cognition (analysis, synthesis, induction, deduction) – to determine theoretical prerequisites for the development of economic analysis; classification method – for grouping the functionalities of specialized analytical programs. Methodological techniques of aggregation, grouping, and sampling were used to process the received empirical data. Results of work. The main analytical possibilities of specialized economic analysis programs and the possibilities of their use are considered. The formation and development of the theory of artificial neural networks is investigated. Positive and negative aspects of the model based on the use of neural network in the analysis of corporations are revealed