Deep Learning Approaches for Stock Price Forecasting Post Covid19: A Survey
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_51
Reference6 articles.
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2. Chen, Q., Zhang, W., Lou, Y.: Forecasting stock prices using a hybrid deep learning model integrating attention mechanism, multi-layer perceptron, and bidirectional long-short term memory neural network. IEEE Access 8, 117365–117376 (2020). https://doi.org/10.1109/ACCESS.2020.3004284
3. Sivri, M.S., Gultekin, A.B., Ustundag, A., Beyca, O.F., Gurcan, O.F., Ari, E.: A dynamic feature selection technique for the stock price forecasting. In: International Conference on Intelligent and Fuzzy Systems, pp. 730–737. Springer (2023)
4. Peterson, C., Rognvaldsson, T.: An Introduction to Artificial Neural Networks. In: 1991 CERN School of Computing, Sept 1991
5. Hu, Z., Zhao, Y., Khushi, M.: A survey of forex and stock price prediction using deep learning. Appl. Syst. Innov. 4(1), 9 (2021). https://doi.org/10.3390/asi4010009
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