Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network

Oleh Pihnastyi and Anastasiya Sytnikova

MPRA Paper from University Library of Munich, Germany

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.

Keywords: conveyor; forecasting model; neural network (search for similar items in EconPapers)
JEL-codes: C02 C14 C25 C44 D24 L23 Q21 (search for similar items in EconPapers)
Date: 2021-09-03, Revised 2021-09-03
New Economics Papers: this item is included in nep-big, nep-cmp, nep-isf and nep-ore
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Published in Central European Researchers Journal 2.7(2021): pp. 1-14

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:109770

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