A method of forecasting trade export volume based on back-propagation neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07693-5.pdf
Reference19 articles.
1. Ashby ER, Cochran HH, Childs BD et al (2016) State merchandise export trade determinants. Int Adv Econ Res 22:95–97
2. Grossmann SH, Scheufele R (2019) PMIs: reliable indicators for exports? Rev Int Econ 27(2):711–734
3. Yatsenko O, Tsygankova T, Horbachova I et al (2021) Trade-economic cooperation of Ukraine and China within COVID-19 Pandemic and in post-pandemic time. E3S Web of Conf 255(1):01031–01035
4. Bin J, Tianli X (2020) Forecast of export demand based on artificial neural network and fuzzy system theory. J Intell Fuzzy Sys 39(7553):1–9
5. Zhu E (2019) Study on exchange rate volatility under cross-border RMB settlement based on multi-layer neural network algorithm. Opt Mem Neur Netw 28(1):58–64
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