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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Zeinab A. Hassaan, Mohammed H. Yacoub, Lobna A. Said
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-12-01
Σειρά:	Machine Learning and Knowledge Extraction
Θέματα:	reservoir computing echo state network recurrent neural network chaotic systems hardware accelerator field programmable gate array
Διαθέσιμο Online:	https://www.mdpi.com/2504-4990/7/4/160
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