Open AccessModeling of Industrial and Technological Processes in Complex Systems Based on Neuro-Fuzzy Petri Nets
Author(s) -
A. V. Bobryakov,
S. A. Prokopenko,
А. Е. Мисник,
S. K. Krutalevich
Publication year - 2021
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 - 10.1088/1742-6596/2096/1/012173
Subject(s) - petri net , computer science , fuzzy logic , process (computing) , variety (cybernetics) , neuro fuzzy , complex system , industrial engineering , process architecture , systems engineering , artificial intelligence , management science , fuzzy control system , engineering , distributed computing , programming language
For effective functioning within a complex system, industrial and technological processes are supported by appropriate information-analytical processes that ensure the collection and analysis of information, as well as modeling and making control decisions for the industrial and technological process. A variety of neuro-fuzzy Petri nets with temporal fuzzy neurons is proposed. An example of con-structing a model of an industrial and technological process and the corresponding information-analytical processes is considered. The developed specialized software for modeling industrial and technological processes and the implementation of information-analytical processes is considered.