Evaluation on stability of stope structure based on nonlinear dynamics of coupling artificial neural network

被引:0
|
作者
Cai, MF [1 ]
Lai, XP
机构
[1] Univ Sci & Technol Beijing, Sch Civil & Environm Engn, Beijing 100083, Peoples R China
[2] Xian Sci & Technol Univ, Shanxi State Control Key Lab, Xian 710054, Peoples R China
关键词
coupling neural network; nonlinear dynamics; structural stability; stope parameters;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The nonlinear dynamical behaviors of artificial neural network (ANN) and their application to science and engineering were summarized. The mechanism of two kinds of dynamical processes, i.e. weight dynamics and activation dynamics in neural networks, and the stability of computing in structural analysis and design were stated briefly. It was successfully applied to nonlinear neural network to evaluate the stability of underground stope structure in a gold mine. With the application of BP network, it is proven that the neuro-computing is a practical and advanced tool for solving large-scale underground rock engineering problems.
引用
收藏
页码:1 / 4
页数:4
相关论文
共 50 条
  • [41] Artificial Neural Network based Voltage Stability Analysis in Power System
    Subramani, C.
    Jimoh, A. A.
    Kiran, Harish S.
    Dash, Subhransu Sekhar
    PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2016), 2016,
  • [42] PID control of nonlinear motor-mechanism coupling system using artificial neural network
    Zhang, Yi
    Feng, Chun
    Li, Bailin
    ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS, 2006, 3972 : 1096 - 1103
  • [43] A model for soil moisture dynamics estimation based on artificial neural network
    Wang, Wei
    Wang, Shuya
    Chang, Jianxia
    Bai, Dan
    1ST INTERNATIONAL SYMPOSIUM ON WATER RESOURCE AND ENVIRONMENTAL MANAGEMENT (WREM 2018), 2019, 81
  • [44] STABILITY OF THE DYNAMICS OF AN ASYMMETRIC NEURAL NETWORK
    Feng, Jianfeng
    Shcherbina, Mariya
    Tirozzi, Brunello
    COMMUNICATIONS ON PURE AND APPLIED ANALYSIS, 2009, 8 (02) : 655 - 671
  • [45] An Artificial Neural Network-Based Algorithm for Evaluation of Fatigue Crack Propagation Considering Nonlinear Damage Accumulation
    Zhang, Wei
    Bao, Zhangmin
    Jiang, Shan
    He, Jingjing
    MATERIALS, 2016, 9 (06):
  • [46] Artificial Neural Network Nonlinear Transistor Behavioral Models: Structure and Parameter Determination Process Based on the Cardiff Model
    Tian, Mengyue
    Bell, James J.
    Quaglia, Roberto
    Azad, Ehsan M.
    Tasker, Paul J.
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2025, 73 (02) : 745 - 759
  • [47] Exponential stability criteria for neural network based control of nonlinear systems
    Jain, Ayush Kumar
    Fiter, Christophe
    Berdjag, Denis
    Polet, Philippe
    2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 1631 - 1636
  • [48] Slope stability evaluation based on generalized regression neural network
    Lan, Hai-Tao
    Li, Qian
    Han, Chun-Yu
    Yantu Lixue/Rock and Soil Mechanics, 2009, 30 (11): : 3460 - 3463
  • [49] Slope stability evaluation based on CBR integrated with neural network
    Liu, MY
    Feng, XT
    Särkkä, P
    Contribution of Rock Mechanics to the New Century, Vols 1 and 2, 2004, : 763 - 766
  • [50] Slope stability evaluation based on generalized regression neural network
    Lan Hai-tao
    Li Qian
    Han Chun-yu
    ROCK AND SOIL MECHANICS, 2009, 30 (11) : 3460 - 3463