Prediction of rockburst classification of railway tunnel based on hybrid PSO-RBF neural network

被引：0
|
作者：
Gao, Lei [1 ]
Liu, Zhenkui [1 ]
Zhang, Haoyu [1 ]
机构：
[1] School of Civil Engineering, Lanzhou Jiaotong University, Lanzhou,730070, China
来源：
Journal of Railway Science and Engineering | 2021年 / 18卷 / 02期
关键词：
Forecasting;
D O I：
10.19713/j.cnki.43-1423/u.T20200352
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：450 / 458
相关论文
共 50 条
  • [41] Prediction of aerodynamic pressure amplitude in tunnel based on PSO-BP neural network
    Cui F.
    Wang H.
    Shu Z.
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2023, 54 (09): : 3752 - 3761
  • [42] Study on simulation of nonlinear system identification based on PSO-RBF NN
    Ding, Hong-Kai
    Xiao, Yun-Shi
    Li, Bin-Yu
    Yue, Ji-Guang
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2005, 17 (08): : 1826 - 1829
  • [43] Comprehensive prediction of rockburst in high-speed railway tunnel
    Li, Bo
    Wu, Li
    Xu, Changmao
    Li, Zhigang
    Zuo, Qingjun
    APPLIED MECHANICS AND MATERIALS II, PTS 1 AND 2, 2014, 477-478 : 553 - +
  • [44] A simulation analysis method based on PSO-RBF model and its application
    Xi Fei
    Sun Youfu
    Ruan Xuejun
    Cluster Computing, 2019, 22 : 2255 - 2261
  • [45] A simulation analysis method based on PSO-RBF model and its application
    Xi Fei
    Sun Youfu
    Ruan Xuejun
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 1): : 2255 - 2261
  • [46] Prediction of rockburst by artificial neural network
    Chen, H., 1600, Academia Sinica (22):
  • [47] PREDICTION OF ROCKBURST BY ARTIFICIAL NEURAL NETWORK
    ChenHaijun LiNenghui NieDexin Shang Yuequan Department of Geotechnical Engineering Nanjing Hydraulic Research Institute Nanjing China Department of Geotechnical Engineering Tongji University Shanghai China Institute of Engineering Geology Chengdu University of Technology Chengdu China Institute of Disaster Prevention Zhejian University Hangzhou China
    岩石力学与工程学报, 2003, (05) : 762 - 768
  • [48] OPTIMAL MODEL OF ROCKBURST PREDICTION BASED ON THE FUZZY NEURAL NETWORK
    Li, Kai-Qing
    He, Fu-Lian
    Xie, Sheng-Rong
    Zhang, Shou-Bao
    Han, Hong-Qiang
    He, Yong-Jun
    CONTROLLING SEISMIC HAZARD AND SUSTAINABLE DEVELOPMENT OF DEEP MINES: 7TH INTERNATIONAL SYMPOSIUM ON ROCKBURST AND SEISMICITY IN MINES (RASIM7), VOL 1 AND 2, 2009, : 1161 - 1166
  • [49] Risk evaluation of railway tunnel water inrush based on PCA-improved RBF neural network model
    Wei, Xiaoyue
    Jin, Chunling
    Gong, Li
    Zhang, Xin
    Ma, Menghan
    Journal of Railway Science and Engineering, 2021, 18 (03) : 794 - 802
  • [50] Cement-based grouting material development and prediction of material properties using PSO-RBF machine learning
    Liu, Xuewei
    Wang, Sai
    Liu, Bin
    Liu, Quansheng
    Zhou, Yuan
    Chen, Juxiang
    Luo, Jin
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 417
12345