C
2023
Data Evaluation: Results
HORÁK, Jakub, Veronika MACHOVÁ, Tomáš KRULICKÝ a Valentina VYCHESLAVOVNA MANTULENKO
Základní údaje
Originální název
Data Evaluation: Results
Vydání
Neuveden, Development of World Trade in the Context of the COVID-19 Pandemic, od s. 67-173, 107 s. 2023
Nakladatel
Springer Science and Business Media Deutschland GmbH
Další údaje
Typ výsledku
Kapitola resp. kapitoly v odborné knize
Obor
50200 5.2 Economics and Business
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Organizační jednotka
Vysoká škola technická a ekonomická v Českých Budějovicích
Klíčová slova anglicky
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
V originále
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.
Zobrazeno: 24. 12. 2024 02:53