Inventory management using artificial neural networks in a concrete case

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F17%3A00001227" target="_blank" >RIV/75081431:_____/17:00001227 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Inventory management using artificial neural networks in a concrete case
Original language description
There are currently a number of methods of inventory management, which are more or less effective. Neural networks also appear to be one of the methods of optimizing company inventory. The aim of this article is to verify the possibility of using neural networks for inventory management using an example of a particular company. A neural structure that describes the development of company inventory very accurately was obtained, and it is therefore apparent that it also has the ability to predict the development of company inventory in the future.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 5th International Conference Innovation Management, Entrepreneurship and Sustainability (IMES 2017)
ISBN
9788024522166
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
1084-1094
Publisher name
Oeconomica Publishing House, University of Economics, Prague, Czech Republic
Place of publication
Praha
Event location
Praha
Event date
May 25, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427316100095

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