Gas outburst prediction based on the intelligent D-S evidence theory

被引：0
|
作者：
Gao, Caixia [1 ]
Wang, Fuzhong [1 ]
Zhang, Zhan [1 ]
机构：
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2019年 / 59卷 / 02期
基金：
中国国家自然科学基金;
关键词：
gas outburst prediction; fuzzy neural network; D-S evidence theory; algorithm design;
D O I：
10.1504/IJCAT.2019.098028
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, the predicted model of gas outburst is built by combining fuzzy neural network and D-S evidence theory, the overall structure design of gas outburst predicted model is presented, the selection of gas outburst evaluation indicators, the design of fuzzy neural network unit and the design of D-S evidence theory unit are introduced. The eight key factors are selected as the evaluation indicators of gas outburst, and the preliminary judgment of gas outburst state in local point, is made by fuzzy neural network, and then global judgment of gas outburst state in mining working face is made based on D-S evidence theory. The simulated result shows that this method can make accurate judgments of gas outburst state grade, and regarding the judgments of the three kinds of gas outburst state, the accuracy error is less than 0.0048% and the uncertainty value approximates to 0.
引用
收藏
页码：123 / 129
页数：7
相关论文
共 50 条
  • [21] Network anomaly detector based on the D-S evidence theory
    Institute of Computer Science and Technology, Peking University, Beijing 100871, China
    Ruan Jian Xue Bao, 2006, 3 (463-471):
  • [22] Intrusion alert correlation based on D-S evidence theory
    Mei Haibin
    Gong Han
    2007 SECOND INTERNATIONAL CONFERENCE IN COMMUNICATIONS AND NETWORKING IN CHINA, VOLS 1 AND 2, 2007, : 308 - 312
  • [23] Fault Diagnosis based on PCA and D-S Evidence Theory
    Ma Yong-Guang
    Zhang Ji
    2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 1310 - +
  • [24] Fault Diagnosis of Generator Based on D-S Evidence Theory
    Du, Qingdong
    Li, Jin
    Chen, Xiao
    ISDA 2008: EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1, PROCEEDINGS, 2008, : 660 - 663
  • [25] Safety Voting System Based on D-S Evidence Theory
    Pan, D. (pandb@swu.edu.cn), 1600, Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia (11):
  • [26] Assessment of Power Quality Based on D-S Evidence Theory
    Chun-Xia Dou
    Ting Gui
    Ye-Fei Bi
    Jin-Zhao Yang
    Xiao-Gang Li
    Machine Intelligence Research, 2014, (06) : 635 - 643
  • [27] Assessment of power quality based on D-S evidence theory
    Dou C.-X.
    Gui T.
    Bi Y.-F.
    Yang J.-Z.
    Li X.-G.
    International Journal of Automation and Computing, 2014, 11 (06) : 635 - 643
  • [28] Damage Identification of Offshore Platform based on D-S Evidence Theory
    Diao Yansong
    Tong Xianneng
    ADVANCES IN CIVIL ENGINEERING, PTS 1-6, 2011, 255-260 : 314 - +
  • [29] A Novel MIMO Detection Scheme Based on D-S Evidence Theory
    Xia, Jinhuan
    Lv, Tiejun
    Li, Yonghua
    2009 IEEE 70TH VEHICULAR TECHNOLOGY CONFERENCE FALL, VOLS 1-4, 2009, : 287 - 291
  • [30] Fault Diagnosis and Optimization for Agent Based on the D-S Evidence Theory
    Wang Jianfang
    Zhang Qiuling
    Zhi Huilai
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT II, 2012, 7332 : 535 - 542
12345