| Issue |
SHS Web Conf.
Volume 154, 2023
2022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022)
|
|
|---|---|---|
| Article Number | 03025 | |
| Number of page(s) | 4 | |
| Section | 3. Low Carbon Economy and Sustainable Development Research | |
| DOI | https://doi.org/10.1051/shsconf/202315403025 | |
| Published online | 11 January 2023 | |
Literature Review in International Trade Forecasting Based in Machine Learning Method
Beijing Forestry University (BJFU)
* Corresponding author: Yetong000000@163.com
In recent years, with the intricacy of international politics and economic situation and the anti-globalization trend, China’s trade with world is facing many serious challenges. There are more factors that effects China export and import. Because of that, high-precision forecasting for international trade is beneficial for nation’s government, guild and export and import enterprise that need a judgement or decision for future. To better promote future research, the paper reviews the paper written by experts from world in trade forecasting field, classifies and summarizes their opinion according in their adopting machine learning method.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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