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@inproceedings{43621, author = {Vochozka, Marek}, address = {Praha}, booktitle = {Proceedings of the 5th International Conference Innovation Management, Entrepreneurship and Sustainability (IMES 2017)}, edition = {1.}, editor = {Dvouletý, O.; Lukeš, M.; Mísař, J.}, keywords = {neural network; inventory management; costs}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Praha}, isbn = {978-80-245-2216-6}, pages = {1084-1094}, publisher = {Oeconomica Publishing House, University of Economics, Prague, Czech Republic}, title = {Inventory management using artificial neural networks in a concrete case}, year = {2017} }
TY - JOUR ID - 43621 AU - Vochozka, Marek PY - 2017 TI - Inventory management using artificial neural networks in a concrete case PB - Oeconomica Publishing House, University of Economics, Prague, Czech Republic CY - Praha SN - 9788024522166 KW - neural network KW - inventory management KW - costs N2 - 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. ER -
VOCHOZKA, Marek. Inventory management using artificial neural networks in a concrete case. In Dvouletý, O.; Lukeš, M.; Mísař, J. \textit{Proceedings of the 5th International Conference Innovation Management, Entrepreneurship and Sustainability (IMES 2017)}. 1. vyd. Praha: Oeconomica Publishing House, University of Economics, Prague, Czech Republic. s.~1084-1094. ISBN~978-80-245-2216-6. 2017.
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