Multi-scale Fusion Recurrent Attention Framework for Time Series Forecasting

Fei Xie; Mengxiao Yin; Zhiqiang Yang; Peizhao Zheng; Jiachao Li; Bei Hua; Feng Zhan

doi:10.1007/978-981-95-0017-8_13

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Multi-scale Fusion Recurrent Attention Framework for Time Series Forecasting

Fei Xie Mengxiao Yin Zhiqiang Yang Peizhao Zheng Jiachao Li Bei Hua Feng Zhan

Year: 2025 Communications in computer and information science Pages: 150-161 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-95-0017-8_13

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Keywords:

Series (stratigraphy) Computer science Scale (ratio) Time series Fusion Artificial intelligence Data mining Machine learning Cartography Geography Geology Philosophy Linguistics

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Multi-scale Fusion Recurrent Attention Framework for Time Series Forecasting

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