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@inbook{68485, author = {Horák, Jakub and Machová, Veronika and Krulický, Tomáš and Vycheslavovna Mantulenko, Valentina}, address = {Neuveden}, booktitle = {Development of World Trade in the Context of the COVID-19 Pandemic}, keywords = {Economic crisis; Financial crisis; Covid-19; Energy; Food industry; World economy; Globalization; National markets; Export Import; Global trade; Russia; Czech Republic; Pandemic; Resources; Balance of trade; Engineering; Automotive industry}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Neuveden}, isbn = {978-3-031-27259-2}, pages = {67-173}, publisher = {Springer Science and Business Media Deutschland GmbH}, title = {Data Evaluation: Results}, url = {https://link-springer-com.ezproxy.techlib.cz/chapter/10.1007/978-3-031-27257-8_6}, year = {2023} }
TY - CHAP ID - 68485 AU - Horák, Jakub - Machová, Veronika - Krulický, Tomáš - Vycheslavovna Mantulenko, Valentina PY - 2023 TI - Data Evaluation: Results VL - Neuveden PB - Springer Science and Business Media Deutschland GmbH CY - Neuveden SN - 9783031272592 KW - Economic crisis KW - Financial crisis KW - Covid-19 KW - Energy KW - Food industry KW - World economy KW - Globalization KW - National markets KW - Export Import KW - Global trade KW - Russia KW - Czech Republic KW - Pandemic KW - Resources KW - Balance of trade KW - Engineering KW - Automotive industry UR - https://link-springer-com.ezproxy.techlib.cz/chapter/10.1007/978-3-031-27257-8_6 N2 - The chapter dealing with the data evaluation analyses in detail the achieved results within the activities performed to achieve the set goal of the publication. The values of balance of trade, export, and import are calculated for Russia and the Czech Republic on the basis of the data available for more than 27 years. For the calculations, the novel and innovative method of artificial neural networks is used. The seasonal effect (lag) of the time series is considered in the form of experiments. Tens of thousands of neural structures are trained, out of which those with the best characteristics are selected. Their ability to copy the development of a given variable and predict it is analysed in detail. This chapter is supplemented by many graphs that provide a complex analysis of the development of trade between the CR and Russia. ER -
HORÁK, Jakub, Veronika MACHOVÁ, Tomáš KRULICKÝ a Valentina VYCHESLAVOVNA MANTULENKO. Data Evaluation: Results. Online. In \textit{Development of World Trade in the Context of the COVID-19 Pandemic}. Neuveden: Springer Science and Business Media Deutschland GmbH, 2023, s.~67-173. ISBN~978-3-031-27259-2.
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