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A Graph Convolutional Encoder-Decoder Model for Methane Concentration Forecasting in Coal Mines

  • Published:2023 Issue: Volume:11 Page:72665-72678
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Gao Yifei1ORCID,Zhang Xiaohang1ORCID,Zhang Tianbao2,Li Zhengren3

Affiliation:

1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China

2. Department of Mathematics, University of Washington, Seattle, WA, USA

3. School of Modern Post, Beijing University of Posts and Telecommunications, Beijing, China

Funder

Beijing University of Posts and Telecommunications (BUPT) Excellent Ph.D. Students Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference55 articles.

1. LSTM based encoder-decoder for short-term predictions of gas concentration using multi-sensor fusion

2. Time series short-term gas prediction based on weighted LS-SVM;qiao;Caikuang yu Anquan Gongcheng Xuebao/J Mining Saf Eng,2011

3. Deep learning for smart manufacturing: Methods and applications

4. Deep learning;lecun;Nature,2015

5. Long Short-Term Memory

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