Journal of Electronic Science and Technology, Volume. 22, Issue 2, 100256(2024)

CNN-LSTM based incremental attention mechanism enabled phase-space reconstruction for chaotic time series prediction

Xiao-Qian Lu1... Jun Tian2,*, Qiang Liao2, Zheng-Wu Xu3 and Lu Gan3 |Show fewer author(s)
Author Affiliations
  • 1Bidding and Purchasing Center, University of Electronic Science and Technology of China, Chengdu, 611731, China
  • 2Yibin Research Institute, University of Electronic Science and Technology of China, Yibin, 644000, China
  • 3School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China
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    Xiao-Qian Lu, Jun Tian, Qiang Liao, Zheng-Wu Xu, Lu Gan. CNN-LSTM based incremental attention mechanism enabled phase-space reconstruction for chaotic time series prediction[J]. Journal of Electronic Science and Technology, 2024, 22(2): 100256

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    Paper Information

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    Received: Dec. 23, 2023

    Accepted: Apr. 22, 2024

    Published Online: Aug. 8, 2024

    The Author Email: Tian Jun (uestctj@gmail.com)

    DOI:10.1016/j.jnlest.2024.100256

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