Stock Index Forecasting Using a Novel Integrated Model Based on CEEMDAN and TCN-GRU-CBAM

Stock Index Forecasting Using a Novel Integrated Model Based on CEEMDAN and TCN-GRU-CBAM

In the context of the current rapid development of the financial market, how to establish an effective stock price index model to avoid investment risks and enhance investment returns for investors has become a subject of great concern. On this basis, a new method of stock price index prediction emp...

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Dettagli Bibliografici
Autori principali:	Sibo Li, Guoqiang Tang, Xuchang Chen, Tongzhi Lin
Natura:	Articolo
Lingua:	English
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Stock index forecasting sequence decomposition deep learning combinatorial models
Accesso online:	https://ieeexplore.ieee.org/document/10659914/

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