Please use this identifier to cite or link to this item: http://repository.kpi.kharkov.ua/handle/KhPI-Press/54150
Title: Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network
Authors: Sytnikova, Anastasiya
Pihnastyi, O. M.
Keywords: conveyor; forecasting model; neural network
Issue Date: 2021
Publisher: University of Žilina, Slovakia
Citation: Sytnikova A. Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network / A. Sytnikova, O. Pihnasty // Central European Researchers Journal. – 2021. – Vol. 7. – Iss. 2. – P. 1-14.
Abstract: In this paper, the results of the model for forecasting the flow parameters of a distributed transport system of the conveyor type are briefly considered. It is shown that the model of the transport system based on the neural network can be successfully applied to predict the flow parameters of the transport system which consists of a very large number of sections.
ORCID: orcid.org/0000-0002-5424-9843
URI: http://repository.kpi.kharkov.ua/handle/KhPI-Press/54150
Appears in Collections:Кафедра "Інтернет речей"

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