The Appliance of Deep Neural Networks in the Process of Managing Chemical Enterprises

Abstract

This article is introduced into the perspective tendencies of the digital transformation of chemical enterprises which allow to improve the process of managing enterprises of the branch. Presented the algorithms of managing and technological information processing based on deep neural network apparatus. New approaches to data processing known as video analytics are applied; it allows to automate the registration process of visual data at chemical enterprises and reduce the impact of the human factor on the objectivity of the decisions. The worked out algorithmic structures of managing and technological information processing allows to carry out the identification of hidden regularities there and ensure the effective achievement of goals at chemical enterprises.