Bitcoin price prediction using LSTM, GRU and hybrid LSTM-GRU with Bayesian optimization, random search, and grid search for the next days

DOI10.3934/jimo.2023091OpenAlexW4384616262MaRDI QIDQ6065185

I. Sibel Kervanci, Mehmet Fatih Akay, Eren Özceylan

Publication date: 11 December 2023

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2023091

zbMATH Keywords

random searchhybridbitcoinBayesian optimizationgrid searchLSTMGRU

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Sensitivity, stability, parametric optimization (90C31) Prediction theory (aspects of stochastic processes) (60G25)

Cites Work

• Unnamed Item
• Unnamed Item
• Asymmetric tail dependence modeling, with application to cryptocurrency market data
• Deep learning-based recommendation method for top-\(K\) tasks in software crowdsourcing systems
• Extremely randomized trees