Volume 39 Issue 12
Turn off MathJax
Article Contents
Abstract
Related Articles
WANG Jiang-rong. Gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis[J]. Journal of Mine Automation, 2013, 39(12): 34-38. DOI: 10.7526/j.issn.1671-251X.2013.12.009
Citation: WANG Jiang-rong. Gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis[J]. Journal of Mine Automation, 2013, 39(12): 34-38. DOI: 10.7526/j.issn.1671-251X.2013.12.009
shu

Gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis

  • Department of Information Processing and Control Engineering, Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060, China

More Information
    Graphical Abstract
    • Abstract
  • In view of problem that classical linear regression model cannot completely reflect coupling relationship among variables and it is not suitable for gas emission prediction with fuzzy number, the paper proposed a gas emission prediction model based on genetic algorithm and fuzzy multivariate linear regression analysis. The model uses gray relation analysis method and SPSS software linear regression analysis method to determine main factors influencing on gas emission, and divides history data sample into modeling data sample and detection data sample and uses genetic algorithm to get center value and fuzzy amplitude value of fuzzy regression parameters. Experiment result shows that the model has higher precision and operability.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]TAO Long, GUO Yanfei. Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition[J]. Journal of Mine Automation, 2025, 51(2): 131-137. DOI: 10.13272/j.issn.1671-251x.2024120015
    [2]WANG Zhongqiang, LI Zhonghui, ZHANG Xin, ZANG Zesheng, ZHANG Quancong, WANG Xuebing. Study on variation law and mechanism of coal potential signal with different lithology[J]. Journal of Mine Automation, 2022, 48(2): 131-137. DOI: 10.13272/j.issn.1671-251x.2021100018
    [3]DANG Weichao, SHI Yunlong, BAI Shangwang, GAO Gaimei, LIU Chunxia. Inspection behavior detection of underground power distribution room based on conditional variational auto-encoder[J]. Journal of Mine Automation, 2021, 47(12): 98-105. DOI: 10.13272/j.issn.1671-251x.2021030087
    [4]LIU Tianqi. Research on the minimum ignition temperature variation law of coal dust cloud with different coal quality[J]. Journal of Mine Automation, 2019, 45(9): 80-85. DOI: 10.13272/j.issn.1671-251x.2018120078
    [5]JIANG Zilong, CHEN Wenlong, LIU Youjian. Research on variation law of secondary stress on working face of Guotun Coal Mine[J]. Journal of Mine Automation, 2017, 43(4): 18-21. DOI: 10.13272/j.issn.1671-251x.2017.04.005
    [6]KONG Yanhui, LI Zhonghui, QIU Liming, SHEN Rongxi. Research on variation rule of surface potential of coal rock during water-inrush process[J]. Journal of Mine Automation, 2017, 43(1): 38-42. DOI: 10.13272/j.issn.1671-251x.2017.01.010
    [7]LYU Ganggang, SHEN Rongxi, QIU Liming, ZHAO Cong, QI Jinxing, WANG Jinghao. Experimental research of variation characteristics of electromagnetic radiation, acoustic emission and surface electric potential during water inrush in mine floor[J]. Journal of Mine Automation, 2015, 41(10): 16-19. DOI: 10.13272/j.issn.1671-251x.2015.10.005
    [8]DU Chunlei, ZHANG Xueying, LI Fenglia. Application of improved CART algorithm in prediction of water inrush from coal seam floor[J]. Journal of Mine Automation, 2014, 40(12): 52-56. DOI: 10.13272/j.issn.1671-251x.2014.12.014
    [9]LIANG Xiang-hong~, ZHANG Qin~. Design of CAN Interface of Mine-used Communication Substation Based on ARM[J]. Journal of Mine Automation, 2009, 35(3): 4-7.
    [10]ZHAO Cang-rong, ZHOU Meng-ra. Underground Gas Monitoring and Control System with CAN Bus Based on ARM[J]. Journal of Mine Automation, 2008, 34(6): 13-16.

  • Cited by

    Periodical cited type(2)

    1. 陈伟，陈志良，侯强. 煤矿井下液压锚杆钻机钻臂定位控制方法. 自动化与仪表. 2024(08): 29-33+39 .
    2. 李富强. 锚杆钻车施工影响因素分析. 中国机械. 2023(33): 90-93 .

    Other cited types(2)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (80) PDF downloads (20) Cited by(4)
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1171671    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return