An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction

Ke Fu; He Li; Xiaotian Shi

doi:10.1016/j.asoc.2024.111409

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An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction

Ke Fu He Li Xiaotian Shi

Year: 2024 Journal: Applied Soft Computing Vol: 156 Pages: 111409-111409 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2024.111409

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Keywords:

Computer science Encoder Chaotic Series (stratigraphy) Fourier series Algorithm Fourier transform Architecture Real-time computing Speech recognition Artificial intelligence Mathematics

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Chaos control and synchronization

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Neural Networks and Reservoir Computing

Physical Sciences → Computer Science → Artificial Intelligence

An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction

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Citation History

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