Literature Review in International Trade Forecasting Based i…

Emerging


0
Citations
4
Refs
2023
Year
Search Works
Work Details
  • DOI 10.1051/shsconf/202315403025
  • OpenAlex ID W4315567773
  • Type Conference-paper
  • Language EN
  • Published 01 Jan 2023
  • Volume 154
  • Pages 03025
  • Source SHS Web of Conferences
  • Publisher EDP Sciences
  • Countries 1
  • Institutions 1
  • Added 11 Jan 2023
  • Updated 27 Sep 2026
MENU
0

Literature Review in International Trade Forecasting Based in Machine Learning Method

Conference-paper 2023 EN Diamond

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 ju…

0

Citations

4

References

1

Authors

0.00

FWCI

Topics
Keywords
Authors & Affiliations
1 authors
#AuthorInstitutionsORCID
1 Ye Tong Corresponding Beijing Forestry University (CN) —

Data: OpenAlex