A mathematical approach is presented using a unified indicator of assessing economic security in the field of creating on-board complexes of technical equipment as a payload for installation on a given technical platf...
详细信息
ISBN:
(数字)9781728147727
ISBN:
(纸本)9781728147734
A mathematical approach is presented using a unified indicator of assessing economic security in the field of creating on-board complexes of technical equipment as a payload for installation on a given technical platform, based on an assessment of the probability of various kinds of threats and the probability of their successful reflection. Various methods for estimating probabilities are presented, their capabilities and applications are revealed. It is shown that machine learning methods in combination with probabilistic programming are most suitable for the requirements of the digital economy. The analysis of the possibilities of using machine learning technologies and assessing the probability of programming in assessing and predicting economic security in the formation of onboard automation systems based on the rear platform is carried out.
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