App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Gas concentration forecasting based on dual-stream exponential smoothing decomposition and multi-scale mixing

Yang Xiaoqiang
Qin Yaoyuan
College of Artificial Intelligence and Computer Science, Xi'an University of Science and Technology, Xi'an shaanxi 710054, China
DOI: 10.19734/j.issn.1001-3695.2026.01.0012

Abstract

Traditional methods face challenges in coal mine gas concentration prediction, such as mixed mode interference, difficulties in modeling long-term temporal dependencies, and significant non-stationary trends. This paper proposed a prediction model named MS-Decomp based on dual-stream exponential smoothing decomposition and a multi-scale mixing mechanism. The model used exponential moving average to decouple the gas time series into high-frequency and low-frequency streams. In the high-frequency stream, a multi-scale patch mixer and relative position-enhanced self-attention encoder captured local abrupt changes and global dependencies respectively. Meanwhile, in the low-frequency stream, a trend extraction module and a hierarchical compressive MLP achieved precise trend extrapolation. Experiments on real-world datasets demonstrated superior performance. Compared with seven baselines, MS-Decomp decreased the average RMSE by 18.0%. Results indicate that the method effectively resolves prediction difficulties under complex conditions and improves accuracy.

Foundation Support

国家自然科学基金资助项目(62002285)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.01.0012
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-05-21] Accepted Paper

Cite This Article

杨晓强, 秦耀远. 基于双流指数平滑分解与多尺度特征混合的瓦斯浓度预测 [J]. 计算机应用研究, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0012. (Yang Xiaoqiang, Qin Yaoyuan. Gas concentration forecasting based on dual-stream exponential smoothing decomposition and multi-scale mixing [J]. Application Research of Computers, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.01.0012. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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