Integrated Prediction of Financial Time Series Data Based on Deep Learning
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05237-8_29
Reference14 articles.
1. Zhang, H., Zeng, J., Ma, J., et al.: Time series prediction of microseismic multi-parameter related to rockburst based on deep learning. Rock Mech. Rock Eng. 54(12), 6299–6321 (2021)
2. Peng, H., Yan, J., Yu, Y., et al.: Time series estimation based on deep learning for structural dynamic nonlinear prediction. Structures 29, 1016–1031 (2021)
3. Adiba, F.I., Sharwardy, S.N., Rahman, M.Z.: Multivariate time series prediction of pediatric ICU data using deep learning. In: 2021 International Conference on Innovative Trends in Information Technology (ICITIIT) (2021)
4. Yang, S.: A novel study on deep learning framework to predict and analyze the financial time series information. Future Gener. Comput. Syst. 125, 812–819 (2021)
5. Li, Y.L.: Semi-supervised time series anomaly detection based on statistics and deep learning. Appl. Sci. 11, 6698 (2021)
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