HORÁK, Jakub (203 Czech Republic, guarantor, belonging to the institution), Veronika MACHOVÁ (203 Czech Republic, belonging to the institution), Tomáš KRULICKÝ (203 Czech Republic, belonging to the institution) and Valentina VYCHESLAVOVNA MANTULENKO
Edition
Neuveden, Development of World Trade in the Context of the COVID-19 Pandemic, p. 67-173, 107 pp. 2023
Publisher
Springer Science and Business Media Deutschland GmbH
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.