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

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.

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Year of publication:	2021-09-03
Authors:	Pihnastyi, Oleh ; Sytnikova, Anastasiya

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Pihnastyi, Oleh and Sytnikova, Anastasiya (2021): Construction of Control Systems of Flow Parameters of the Smart Conveyor using a Neural Network. Published in: Central European Researchers Journal , Vol. 7, No. 2 (3 September 2021): pp. 1-14.
Classification:	C02 - Mathematical Methods ; C14 - Semiparametric and Nonparametric Methods ; C25 - Discrete Regression and Qualitative Choice Models ; C44 - Statistical Decision Theory; Operations Research ; D24 - Production; Capital and Total Factor Productivity; Capacity ; L23 - Organization of Production ; Q21 - Demand and Supply
Source:	BASE

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015254658