Deep Learning for Financial Engineering-Reference-Cited by-同舟云学术

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Deep Learning for Financial Engineering

Published:2022-04 Issue:4 Volume:59 Page:1277-1281
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Chen Mu-Yen,Sangaiah Arun Kumar,Chen Ting-Hsuan,Lughofer Edwin David,Egrioglu Erol

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10614-022-10260-8.pdf

Reference22 articles.

1. Chen, S. H., & Hsu, F. J. (2022). National governance differences and foreign bank performance in Asian countries: The role of bank competition. Computational Economics. https://doi.org/10.1007/s10614-021-10213-7

2. Ding, R. (2021). Enterprise intelligent audit model by using deep learning approach. Computational Economics. https://doi.org/10.1007/s10614-021-10192-9

3. Eğrioğlu, E., & Fildes, R. (2020). A New bootstrapped hybrid artificial neural network approach for time series forecasting. Computational Economics. https://doi.org/10.1007/s10614-020-10073-7

4. Gao, B. (2021). The use of machine learning combined with data mining technology in financial risk prevention. Computational Economics. https://doi.org/10.1007/s10614-021-10101-0

5. Huang, S. C., Wu, C. F., Chiou, C. C., et al. (2021). Intelligent FinTech data mining by advanced deep learning approaches. Computational Economics. https://doi.org/10.1007/s10614-021-10118-5

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