PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS
Background. Predicting the prices of virtual assets is an important task due to their high volatility. Neural networks are widely used for such tasks, but often face the problem of naive predictions, when the next value is too similar to the previous one, which reduces the forecasting efficiency....
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ivan Franko National University of Lviv
2025-03-01
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| Series: | Електроніка та інформаційні технології |
| Subjects: | |
| Online Access: | http://publications.lnu.edu.ua/collections/index.php/electronics/article/view/4783 |
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