您当前的位置：
首页 >
文章列表页 >
Homogeneous Multivariate Time Series Prediction Model Integrating Channel Attention and SDFFT
Computer Software and Theory | 更新时间：2026-01-27

    • Homogeneous Multivariate Time Series Prediction Model Integrating Channel Attention and SDFFT

    • “In the field of long-term prediction of homogeneous multivariate time series, the HMTS-TI model effectively extracts inter variable correlation information and cross temporal dependency features through RGCA and SDFFT modules, improving prediction accuracy.”
    • Software Guide   Vol. 25, Issue 1, Pages: 83-94(2026)

    • DOI：10.11907/rjdk.241803    

      CLC： TP18

    • Received：03 November 2024，

      Published：15 January 2026

    移动端阅览

  • WANG Kaixin,YANG Lei,ZHAO Pinjie,et al.Homogeneous Multivariate Time Series Prediction Model Integrating Channel Attention and SDFFT[J].Software Guide,2026,25(01):83-94. DOI： 10.11907/rjdk.241803.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Unsupervised Low Illumination Image Enhancement Based on Channel Attention and Illumination Weights
Research on Peer Review Sentiment Classification Based on BERT-MSCNN
Research and Application of Fast Fourier Transform in AC/DC Leakage Identification

Related Author

YANG Meng
DU Xiaogang
ZHANG Xuejun
SUN Haoxuan
WU Zhuang
CHAO Rongzhi
CHEN Xiangguo
WEI Zhongcheng

Related Institution

Shaanxi Joint Laboratory of Artificial Intelligence， Shaanxi University of Science & Technology
School of Electronic Information and Artificial Intelligence， Shaanxi University of Science & Technology
School of Electronic and Information Engineering， Lanzhou Jiaotong University
School of Information and Electrical Engineering, Hebei University of Engineering
Hebei Key Laboratory of Security Information Perception and Processing
0