The age of the internet neural network model and application of microseismic monitoring technology in mine disaster warning

被引：0
|
作者：
机构：
[1] [1,Gao, Liqun
来源：
Gao, Liqun | 1600年 / Sila Science, University Mah Mekan Sok, No 24, Trabzon, Turkey卷 / 32期
关键词：
Microseismic monitoring - Disasters;
D O I：
暂无
中图分类号：
P631.4 [地震勘探]; P315 [地震学];
学科分类号：
摘要：
The artificial neural network contains the capabilities Of self-adaptability, knowledge classification and pattern identification as well as the association of ideas and memories. The evaluation of mine disaster can be regarded as a problem of pattern identification. With the use of the BP Neural Network in this paper, a research model has been created to evaluate the mine disaster whose arithmetic is given. The correctness of the model is validated by the result of real data in the way of the single hidden layer and the double hidden layers. © Sila Science. All Rights Reserved.
引用
收藏
相关论文
共 50 条
  • [31] Microseismic Signals in Heading Face of Tengdong Coal Mine and Their Application for Rock Burst Monitoring
    Ren, JianJu
    Zhang, Wenlong
    Wu, Zheng
    Li, Ji
    Shen, Ying
    SHOCK AND VIBRATION, 2021, 2021
  • [32] Mountain Torrent Disaster Monitoring and Early-warning System based on Internet of Things
    Zeng, Chenping
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS III, PTS 1 AND 2, 2014, 484-485 : 577 - 580
  • [33] Prediction of rockbursts in a typical island working face of a coal mine through microseismic monitoring technology
    Zhang, Chao
    Jin, Gaohan
    Liu, Chao
    Li, Shugang
    Cheng, Renhui
    Wang, Xinglong
    Zeng, Xiangzhen
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2021, 113
  • [34] Continuous monitoring and warning theory and technology of rock burst dynamic disaster of coal
    He, Xue-Qiu
    Dou, Lin-Ming
    Mu, Zong-Long
    Gong, Si-Yuan
    Cao, An-Ye
    He, Jiang
    Meitan Xuebao/Journal of the China Coal Society, 2014, 39 (08): : 1485 - 1491
  • [35] Key technology and prospect of the original source early warning method for coal mine dynamic disaster
    Lu X.
    Kan S.
    Meitan Xuebao/Journal of the China Coal Society, 2020, 45 : 128 - 139
  • [36] Research on Monitoring and Early Warning of the Mine Backfill System Based on Blockchain Technology
    Qin, Xuebin
    Huo, Jingtao
    Zhang, Jing
    Liu, Lang
    Wang, Pai
    Dong, Lihong
    APPLIED SCIENCES-BASEL, 2023, 13 (01):
  • [37] The application of BP neural network in the enterprise crisis warning
    Du, Danli
    Wang, Fayin
    ISCRAM CHINA 2006: Proceedings of the First International Workshop on Information Systems for Crisis Response and Management, 2006, : 43 - 48
  • [38] Construction and Application of the Financial Early-Warning Model Based on the BP Neural Network
    Jiang, Weiwei
    Wu, Xuefeng
    Wang, Xi
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [39] Research on the Design of Coal Mine Microseismic Monitoring Network Based on Improved Particle Swarm Optimization
    Wang, Kaikai
    Tang, Chun'an
    Ma, Ke
    Ma, Tianhui
    APPLIED SCIENCES-BASEL, 2022, 12 (17):
  • [40] BP neural network-based early warning model for financial risk of internet financial companies
    Song, Xiaoling
    Jing, Yage
    Qin, Xuan
    COGENT ECONOMICS & FINANCE, 2023, 11 (01):
12345