Economic Security Assessment of Onboard Equipment Production with Possible Realization in Standard Machine Learning Technologies

Abstract

An economic security of production of the onboard equipment as autonomous objects is considered on a process basis. The interrelation of factors acting on objects and triggering processes in them, which lead to a change in their properties, is taken into account. A mathematical method and a criterion for economic security assessment of economic operations and industry systems with the possibility of their implementation in machine learning technologies are presented.