Research on application of artificial neural network in predicting mining subsidence

被引：0
|
作者：
Cao, Li-Wen [1 ]
Jiang, Zhen-Quan [1 ]
机构：
[1] Coll. of Mineral Res. and Geosci., China Univ. of Mining and Technol., Xuzhou 221008, China
来源：
Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining & Technology | 2002年 / 31卷 / 01期
关键词：
Algorithms - Backpropagation - Coal mines - Forecasting - Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new method was put forward for the quantitative prediction of mining subsidence by means of ANN (Artificial Neural Network). Problems of selecting influential factors, establishment of ANN prediction model and its application were discussed. BP algorithm was used for modeling and predicting the mining subsidence. Result shows that the ANN prediction model is theoretically feasible and significant in predicting complex exploitation sink system.
引用
收藏
页码：23 / 26
相关论文
共 50 条
  • [31] Observations on the application of artificial neural network to predicting ground motion measures
    Hong, Hanping
    Liu, Taojun
    Lee, Chien-Shen
    EARTHQUAKE SCIENCE, 2012, 25 (02) : 161 - 175
  • [32] Application Research on Genetic Programming in the Prediction of mining subsidence
    Sun Xue-yang
    Xia Yu-cheng
    Qi Hui-min
    Xiao Liang
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 29 - 32
  • [33] Predicting Honey Production using Data Mining and Artificial Neural Network Algorithms in Apiculture
    Karadas, Koksal
    Kadirhanogullari, Ibrahim Hakki
    PAKISTAN JOURNAL OF ZOOLOGY, 2017, 49 (05) : 1611 - 1619
  • [34] Predicting spikes with artificial neural network
    Lihong Cao
    Jiamin Shen
    Lei Wang
    Ye Wang
    Science China Information Sciences, 2018, 61
  • [35] Predicting spikes with artificial neural network
    Cao, Lihong
    Shen, Jiamin
    Wang, Lei
    Wang, Ye
    SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61 (06)
  • [36] Predicting spikes with artificial neural network
    Lihong CAO
    Jiamin SHEN
    Lei WANG
    Ye WANG
    ScienceChina(InformationSciences), 2018, 61 (06) : 170 - 172
  • [37] Predicting the Future with Artificial Neural Network
    Olawoyin, Anifat
    Chen, Yangjuin
    CYBER PHYSICAL SYSTEMS AND DEEP LEARNING, 2018, 140 : 383 - 392
  • [38] The Application and Research of Artificial Neural Network in Enterprise Credit Appraisal
    Xu, Xin
    Xu, Li-Hong
    EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 552 - +
  • [39] Research and application of unified model based on Artificial neural network
    Hao, Jishan
    Jin, Changlin
    Hu, Zhuofei
    Zhang, Qingfeng
    2017 IEEE ELECTRICAL DESIGN OF ADVANCED PACKAGING AND SYSTEMS SYMPOSIUM (EDAPS), 2017,
  • [40] Application Research of Artificial Neural Network in Environmental Quality Monitoring
    Zhao, Kunrong
    He, Tingting
    Wu, Shuang
    Wang, Songling
    Dai, Bilan
    Yang, Qifan
    Lei, Yutao
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (12)
12345