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

MoreLess

Year of publication:	[2021]
Authors:	Pihnastyi, Oleh ; Sytnikova, Anastasiya
Publisher:	[S.l.] : SSRN
Subject:	Neuronale Netze \| Neural networks \| Theorie \| Theory

Extent:	1 Online-Ressource (14 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Central European Researchers Journal. –2021. –vol.7. –№ 2. –P.1–14 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 03, 2021 erstellt
Classification:	C02 - Mathematical Methods ; C15 - Statistical Simulation Methods; Monte Carlo 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:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10013212618