FPGA-Accelerated ESN with Chaos Training for Financial Time Series Prediction
Improving financial time series forecasting presents challenges because models often struggle to identify diverse fault patterns in unseen data. This issue is critical in fintech, where accurate and reliable forecasting of financial data is essential for effective risk management and informed invest...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI AG
2025-12-01
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| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/7/4/160 |
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