Modeling uncertainty using neural networks

Introduction: modern political and economic conditions of uncertainty dictate the need for a systematic strategic development of industrial enterprises, and, consequently, new principles of production management. The functioning of enterprises, which are a complex economic system, is accompanied by the behavior uncertainty of both the elements of the system itself and external factors. The elimination of uncertainty from the modeling of economic processes does not allow to consider the behavior of an object in real conditions, which affects the system development forecasting. The use of neural networks makes it possible to obtain a quantitative assessment of uncertainty factors influence on enterprises.