Detailed Information on Publication Record
2023
Methodology
HORÁK, Jakub, Veronika MACHOVÁ, Tomáš KRULICKÝ and Valentina VYCHESLAVOVNA MANTULENKOBasic information
Original name
Methodology
Authors
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. 61-65, 5 pp. 2023
Publisher
Springer Science and Business Media Deutschland GmbH
Other information
Language
English
Type of outcome
Kapitola resp. kapitoly v odborné knize
Field of Study
50200 5.2 Economics and Business
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
Organization unit
Institute of Technology and Business in České Budějovice
ISBN
978-3-031-27259-2
Keywords in English
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
Změněno: 21/7/2023 13:41, Barbora Kroupová
Abstract
V originále
Abstract The chapter that focuses on methodology describes the structure of the data that provide a background for the research. Specifically, these are monthly data concerning the volume of export, import, and balance of trade between Russia and the Czech Republic for a specific period, or more precisely, for more than 27 years. In addition to the specification of the data set, this chapter also describes the methods used and the process based on which the results are obtained. As the main tool, the method of artificial neural networks is used, specifically, the multilayer perceptron (MLP) as one of the most commonly used networks in practice, and one of the latest models of neural networks, a three-layer feedforward neural network RBF.