A Data-driven Deep Learning Approach for Bitcoin Price Forecasting
Author:
Affiliation:
1. Darmstadt University of Technology,Grad. School of Comp. Eng.
2. Darmstadt University of Technology,Signal Processing Group
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10167864/10167764/10167930.pdf?arnumber=10167930
Reference16 articles.
1. Bitcoin: A peer-to-peer electronic cash system;nakamoto;Decentralized Bus Rev,2008
2. Finding hidden-feature depending laws inside a data set and classifying it using neural network;moshagen,2021
3. Bidirectional recurrent neural networks
4. Machine Learning Yearning;ng;Online Draft,2017
5. Short-term bitcoin market prediction via machine learning
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1. Elucidating Nuances;Advances in Finance, Accounting, and Economics;2024-08-30
2. Predictive Analysis of Bitcoin Prices Using Bidirectional Long Short-Term Memory Networks;2024 3rd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2024-06-14
3. Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization;Forecasting;2024-04-23
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