AI-СИСТЕМА ДЛЯ ПРОГНОЗА ФИНАНСОВОЙ УСТОЙЧИВОСТИ ХОЗЯЙСТВУЮЩЕГО СУБЪЕКТА В УСЛОВИЯХ РЫНОЧНОЙ НЕОПРЕДЕЛЕННОСТИ И РИСКА

The relevance of the study lies in the fact that in conditions of increasing market uncertainty and increasing all types of risk, it is important to support managerial decision-making in assessing and managing the risk of loss of financial stability by an organization, which determines its practical significance. Despite the fact that many works of modern scientists are devoted to the problem under consideration, nevertheless, certain aspects of the problem remain insufficiently studied and require further research. The theoretical foundations of the assessment and management of financial risk and financial stability have been investigated. A WaR-model has been developed to assess the financial risk of an economic entity. The resulting value X (1) = 42.27152519 thousand rubles. suggests that over the next year, the increase in net profit will not exceed the value of 42.27152519 rubles. with a probability of 99%. The hypothesis was put forward and proved that with the help of the AI-system, it is possible to obtain a forecast of the amount of net profit in order to increase the financial stability of a commercial organization. The developed AI-system (artificial intelligence system) "Perceptron" is presented, designed to predict the amount of net profit to support management decisions regarding the management of financial stability. The theoretical foundations for assessing and managing financial risk and the risk of losing the financial stability of an organization have been investigated. The proposed AI-system is of great practical importance, since it provides a high forecast accuracy. The forecast error has the following values: minimum 0.002193659; maximum 7.364634144Е-14. In this case, the standard deviation of the error is 0.0016321.