Empirical analysis of integrated teaching mode of international trade based on practical training data detection and neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08459-4.pdf
Reference16 articles.
1. Abiodun OI, Jantan A, Omolara AE et al (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938
2. Bralić A, Divjak B (2018) Integrating MOOCs in traditionally taught courses: achieving learning outcomes with blended learning. Int J Educ Technol High Educ 15(1):1–16
3. Dür A, Baccini L, Elsig M (2014) The design of international trade agreements: introducing a new dataset. Rev Int Organ 9(3):353–375
4. García-Peñalvo FJ, Fidalgo-Blanco Á, Sein-Echaluce ML (2018) An adaptive hybrid MOOC model: Disrupting the MOOC concept in higher education. Telemat Inform 35(4):1018–1030
5. Gu K, Stoyanov A (2019) Skills, population aging, and the pattern of international trade. Rev Int Econ 27(2):499–519
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