Predicting Bitcoin and Ethereum prices using long short-term memory and gated recurrent unit
Predicting future prices of cryptocurrencies, including Bitcoin and Ethereum, presents a formidable challenge owing to their inherent volatility. This study applies Long Short-Term Memory (LSTM), a well-established recurrent neural network for time series forecasting, to predict Bitcoin and Ethereum...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UMP
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41610/ http://umpir.ump.edu.my/id/eprint/41610/1/document.pdf |