Deep Learning Approach for Predicting the Price of Cryptocurrencies
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2719-5_4
Reference18 articles.
1. Li, Y., Dai, W.: Bitcoin price forecasting method based on CNN-LSTM hybrid neural network model. J. Eng. 2020(13), 344–347 (2020). https://doi.org/10.1049/joe.2019.1203
2. Singh, M., Kim, S.: Branch-based blockchain technology in the intelligent vehicle. Comput. Netw. 145, 219–231 (2018). https://doi.org/10.1016/j.comnet.2018.08.016
3. Kyriazis, N.A.: Investigating the diversifying or hedging nexus of cannabis cryptocurrencies with major digital currencies. Decis. Econ. Finan. 44(2), 845–861 (2021). https://doi.org/10.1007/s10203-021-00356-5
4. Patel, M.M., Tanwar, S., Gupta, R., Kumar, N.: A deep learning-based cryptocurrency price prediction scheme for financial institutions. J. Inf. Secur. Appl. 55(May), 102583 (2020). https://doi.org/10.1016/j.jisa.2020.102583
5. McNally, S., Roche, J., Caton, S.: Predicting the price of bitcoin using machine learning. In: Proceedings - 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2018, pp. 339–343 (2018). https://doi.org/10.1109/PDP2018.2018.00060
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