Machine learning forecasting of CR and PRC balance of trade
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Work Details
- DOI 10.1051/shsconf/20207301004
- OpenAlex ID W3000435069
- Type Conference-paper
- Language EN
- Published 01 Jan 2020
- Volume 73
- Pages 01004
- Source SHS Web of Conferences
- Publisher EDP Sciences
- FWCI 0.34
- Countries 1
- Institutions 2
- Added 23 Jan 2020
- Updated 16 Oct 2026
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Machine learning forecasting of CR and PRC balance of trade
Conference-paper 2020 EN Diamond
International trade is an important factor of economic growth. While foreign trade has existed throughout the history, its political, economic and social importance has grown significantly in the last centuries. The objective of the contribution is to use machine learning forecasting for predicting the balance of trade of the Czech Republic (CR) and the People´s Republic of China (PRC) through ana…
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0.34
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Authors & Affiliations
2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Tomáš Brabenec | Prague University of Economics… (CZ) | |
| 2 | Petr Šuleř | Institute of Technology and Bu… (CZ) |
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