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

Xiao-Qian Lu Jun Tian Qiang Liao Zheng-Wu Xu Lu Gan

电子科技学刊2024,Vol.22Issue(2):77-90,14.
电子科技学刊2024,Vol.22Issue(2):77-90,14.DOI:10.1016/j.jnlest.2024.100256

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

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

Xiao-Qian Lu 1Jun Tian 2Qiang Liao 2Zheng-Wu Xu 3Lu Gan3

作者信息

  • 1. Bidding and Purchasing Center,University of Electronic Science and Technology of China,Chengdu,611731,China
  • 2. Yibin Research Institute,University of Electronic Science and Technology of China,Yibin,644000,China
  • 3. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China
  • 折叠

摘要

关键词

Chaotic time series/Incremental attention mechanism/Phase-space reconstruction

Key words

Chaotic time series/Incremental attention mechanism/Phase-space reconstruction

引用本文复制引用

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].电子科技学刊,2024,22(2):77-90,14.

电子科技学刊

1674-862X

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