Data Evaluation: Results

C 2023

Data Evaluation: Results

HORÁK, Jakub, Veronika MACHOVÁ, Tomáš KRULICKÝ a Valentina VYCHESLAVOVNA MANTULENKO

Základní údaje

Originální název

Data Evaluation: Results

Autoři

HORÁK, Jakub (203 Česká republika, garant, domácí), Veronika MACHOVÁ (203 Česká republika, domácí), Tomáš KRULICKÝ (203 Česká republika, domácí) a Valentina VYCHESLAVOVNA MANTULENKO

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

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

50200 5.2 Economics and Business

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-3-031-27259-2

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

Změněno: 21. 7. 2023 13:37, Barbora Kroupová

Anotace

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.

Citovat

HORÁK, Jakub, Veronika MACHOVÁ, Tomáš KRULICKÝ a Valentina VYCHESLAVOVNA MANTULENKO. Data Evaluation: Results. Online. In 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.

@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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