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Determinants of Tourism Stocks During the COVID-19: Evidence From the Deep Learning Models
This paper examines the determinants of tourism stock returns in China from October 25, 2018, to October 21, 2020, including the COVID-19 era. We propose four deep learning prediction models based on the Back Propagation Neural Network (BPNN): Quantum Swarm Intelligence Algorithms (QSIA), Quantum St...
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| izdano v: | Front Public Health |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8062709/ https://ncbi.nlm.nih.gov/pubmed/33898386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpubh.2021.675801 |
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