Stock Price Prediction Using Bi-LSTM and GRU-Based Hybrid Deep Learning Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3148-2_60
Reference11 articles.
1. Hu Z, Zhao Y, Khushi M (2021) A survey of forex and stock price prediction using deep learning. Appl Syst Innov 4(1):9
2. Nikou M, Mansourfar G, Bagherzadeh J (2019) Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms. Intell Sys Acc Fin Mgmt 26(4):164–174
3. Khare K, Darekar O, Gupta P, Attar VZ (2017) Short term stock price prediction using deep learning. In: 2nd International conference on recent trends in electronics, information & communication technology (RTEICT). IEEE, Bangalore, India, pp 482–486
4. Huynh HD, Dang LM, Duong D (2017) A new model for stock price movements prediction using deep neural network. In: 8th International symposium on information and communication technology. ACM, Nha Trang City Viet Nam, pp 57–62
5. Singh R, Srivastava S (2017) Stock prediction using deep learning. Multimed Tools Appl 76:18569–18584
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