Nonlinear system identification using neural networks trained with natural gradient descent

被引：0
作者：
机构：
[1] Ibnkahla, Mohamed
来源：
Ibnkahla, M. (mohamed.ibnkahla@ece.queensu.ca) | 1600年 / Hindawi Publishing Corporation卷 / 2003期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
21
引用
收藏
相关论文
共 50 条
  • [31] Identification And Control Of A Nonlinear System Using Neural Networks By Extracting The System Dynamics
    Singh, Madhusudan
    Srivastava, Smriti
    Gupta, J. R. P.
    Handmandlu, M.
    IETE JOURNAL OF RESEARCH, 2007, 53 (01) : 43 - 50
  • [32] A new approach to training neural networks using natural gradient descent with momentum based on Dirichlet distributions br
    Abdulkadirov, R. I.
    Lyakhov, P. A.
    COMPUTER OPTICS, 2023, 47 (01) : 160 - +
  • [33] Nonlinear system identification and trajectory tracking using dynamic neural networks
    Poznyak, AS
    Sanchez, EN
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 955 - 960
  • [34] Error analysis for nonlinear system identification using dynamic neural networks
    Poznyak, AS
    Sanchez, EN
    Acosta, G
    PROCEEDINGS ISAI/IFIS 1996 - MEXICO - USA COLLABORATION IN INTELLIGENT SYSTEMS TECHNOLOGIES, 1996, : 403 - 407
  • [35] Nonlinear system identification and model reduction using artificial neural networks
    Prasad, V
    Bequette, BW
    COMPUTERS & CHEMICAL ENGINEERING, 2003, 27 (12) : 1741 - 1754
  • [36] Identification of a nonlinear motor system with neural networks
    Sio, KC
    Lee, CK
    AMC '96-MIE - 1996 4TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL, PROCEEDINGS, VOLS 1 AND 2, 1996, : 287 - 292
  • [37] Natural Gradient Descent of Complex-Valued Neural Networks Invariant under Rotations
    Mukuno, Jun-ichi
    Matsui, Hajime
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2019, E102A (12) : 1988 - 1996
  • [38] Learning Graph Neural Networks with Approximate Gradient Descent
    Li, Qunwei
    Zou, Shaofeng
    Zhong, Wenliang
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 8438 - 8446
  • [39] A Convergence Analysis of Gradient Descent on Graph Neural Networks
    Awasthi, Pranjal
    Das, Abhimanyu
    Gollapudi, Sreenivas
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [40] Fast batch gradient descent in quantum neural networks
    Shim, Joo Yong
    Kim, Joongheon
    ELECTRONICS LETTERS, 2025, 61 (01)
12345