Applying neural networks in reliability analysis of a panel pillar

被引:0
|
作者
Deng, Jian [1 ]
Yue, Zhongqi [2 ]
Zhu, Hehua [1 ]
机构
[1] Dept. of Geotechnical Engineering, Tongji University, Shanghai 200092, China
[2] Department of Civil Engineering, The University of Hong Kong, Kowloon, Hong Kong
关键词
Mining - Neural networks - Optimization - Reliability;
D O I
暂无
中图分类号
学科分类号
摘要
The panel pillar in the drilling room plays an important role in keeping the stability of the slope roof in backfill mining method of Feng huangshan copper mine. Reliability analysis method is introduced to optimize the panel pillar in this paper. Reliability analysis and design of the pillar structure is performed using neural networks. The results show that the rational design value of the panel pillar diameter should be confined to the limit between 3.4m and 3.6m.
引用
收藏
页码:187 / 191
相关论文
共 50 条
  • [41] Applying Reliability Theory for Future Wireless Communication Networks
    Hoessler, Tom
    Scheuvens, Lucas
    Franchi, Norman
    Simsek, Meryem
    Fettweis, Gerhard P.
    2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2017,
  • [42] PARTICULARS OF NEURAL NETWORKS APPLYING IN REINFORCEMENT LEARNING
    Chizhov, Yuri
    MENDEL 2008, 2008, : 154 - 160
  • [43] Applying Convolutional Neural Networks for the Source Reconstruction
    Yao, He Ming
    Sha, Wei E., I
    Jiang, Li Jun
    PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2018, 76 : 91 - 99
  • [44] Applying artificial neural networks to clinical medicine
    Burke, HB
    JOURNAL OF CLINICAL LIGAND ASSAY, 1998, 21 (02): : 200 - 201
  • [45] Evaluation of correlation methods applying neural networks
    Holzapfel, W
    Sofsky, M
    NEURAL COMPUTING & APPLICATIONS, 2003, 12 (01): : 26 - 32
  • [46] Evaluation of correlation methods applying neural networks
    Wolfgang Holzapfel
    Manfried Sofsky
    Neural Computing & Applications, 2003, 12 : 26 - 32
  • [47] Applying neural networks to intelligent condition monitoring
    Li, W
    Parkin, RM
    Coy, J
    Ball, AD
    Gu, F
    CONDITION MONITORING AND DIAGNOSTIC ENGINEERING MANAGEMENT, 2001, : 545 - 552
  • [48] Applying Gradient Descent in Convolutional Neural Networks
    Cui, Nan
    2ND INTERNATIONAL CONFERENCE ON MACHINE VISION AND INFORMATION TECHNOLOGY (CMVIT 2018), 2018, 1004
  • [49] Applying Fast Matrix Multiplication to Neural Networks
    Khaled, Ahmed
    Atiya, Amir F.
    Abdel-Gawad, Ahmed H.
    PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), 2020, : 1034 - 1037
  • [50] Applying neural networks to predicting battle outcomes
    Glovier, David A.
    EMJ - Engineering Management Journal, 1997, 9 (01): : 33 - 40