A Multi-Hierarchical attention-based prediction method on Time Series with spatio-temporal context among variables

Zhuolin Li; Jie Yu; Xiaolin Zhang; Lingyu Xu; Baogang Jin

doi:10.1016/j.physa.2022.127664

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A Multi-Hierarchical attention-based prediction method on Time Series with spatio-temporal context among variables

Zhuolin Li Jie Yu Xiaolin Zhang Lingyu Xu Baogang Jin

Year: 2022 Journal: Physica A Statistical Mechanics and its Applications Vol: 602 Pages: 127664-127664 Publisher: Elsevier BV

DOI: 10.1016/j.physa.2022.127664

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Keywords:

Computer science Spacetime Robustness (evolution) Exploit Multivariate statistics Context (archaeology) Data mining Time series Temporal scales Series (stratigraphy) Machine learning Geography

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Geochemistry and Geologic Mapping

Physical Sciences → Computer Science → Artificial Intelligence

Oceanographic and Atmospheric Processes

Physical Sciences → Earth and Planetary Sciences → Oceanography

A Multi-Hierarchical attention-based prediction method on Time Series with spatio-temporal context among variables

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