Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting
Author:
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/s10614-023-10466-4.pdf
Reference72 articles.
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2. Alatas, B. (2012). A novel chemistry based metaheuristic optimization method for mining of classification rules. Expert Systems with Applications: An International Journal, 39, 11080–11088. https://doi.org/10.1016/j.eswa.2012.03.066
3. Albariqi, R., & Winarko, E., (2020). Prediction of Bitcoin price change using neural networks. In International Conference on Smart Technology and Applications (ICoSTA) (pp. 1–4).
4. Alessandretti, L., Elbahrawy, A., Aiello, L. M., & Baronchelli, A. (2018). Anticipating cryptocurrency prices using machine learning. Complexity, 2018, 8983590. https://doi.org/10.1155/2018/8983590
5. Alonso-Monsalve, S., Suárez-Cetrulo, A. L., Cervantes, A., & Quintana, D. (2020). Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators. Expert Systems with Applications, 149, 113250.
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