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Development of a neural network model for controlling the process of dosing bulk food masses
Author(s) -
Margarita Blagoveshchenskaya,
Vladislav G. Blagoveshchenskiy,
Santos Counihan Mario Rogelio,
Alexander N. Petryakov
Publication year - 2020
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 - 10.1088/1742-6596/1705/1/012027
Subject(s) - pid controller , artificial neural network , dosing , process (computing) , computer science , controller (irrigation) , process control , control engineering , artificial intelligence , engineering , temperature control , chemistry , biology , agronomy , organic chemistry , operating system
The current problem of automatic control of the process of dosing bulk food masses is considered and analyzed on the basis of the development of a mathematical model using the apparatus of artificial neural networks. The purpose of this work is to obtain recommendations for using a neural network model with a PID controller.

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