Forecasting the price of Bitcoin using deep learning
Year of publication: |
2021
|
---|---|
Authors: | Liu, Mingxi ; Li, Guowen ; Li, Jianping ; Zhu, Xiaoqian ; Yao, Yinhong |
Published in: |
Finance research letters. - Amsterdam [u.a.] : Elsevier, ISSN 1544-6123, ZDB-ID 2181386-3. - Vol. 40.2021, p. 1-8
|
Subject: | Bitcoin price prediction | Deep extraction | Feature learning | Stacked denoising autoencoders | Virtuelle Währung | Virtual currency | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Preis | Price | Lernen | Learning |
-
A hybrid deep learning model for Bitcoin price prediction : data decomposition and feature selection
Wang, Jikai, (2024)
-
Bouteska, Ahmed, (2024)
-
Prediction of cryptocurrency prices by deep learning models : a case study for Bitcoin and Ethereum
Mehrdoust, Farshid, (2023)
- More ...
-
Li, Jianping, (2022)
-
Zhu, Xiaoqian, (2023)
-
Wei, Lu, (2019)
- More ...