Open AccessThe Appliance of Deep Neural Networks in the Process of Managing Chemical Enterprises
Author(s) -
E. V. Kulyasova,
N. S. Kulyasov,
Andrey Yu. Puchkov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1260/3/032024
Subject(s) - computer science , artificial neural network , process (computing) , objectivity (philosophy) , data science , data processing , information processing , analytics , identification (biology) , artificial intelligence , process management , knowledge management , industrial engineering , business , engineering , database , philosophy , botany , epistemology , neuroscience , biology , operating system
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.