Dynamics of on-line gradient descent learning for multilayer neural networks

被引:0
|
作者
Saad, D [1 ]
Solla, SA [1 ]
机构
[1] ASTON UNIV,DEPT COMP SCI & APPL MATH,BIRMINGHAM B4 7ET,W MIDLANDS,ENGLAND
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页码:302 / 308
页数:5
相关论文
共 50 条
  • [21] Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training
    Soudry, Daniel
    Di Castro, Dotan
    Gal, Asaf
    Kolodny, Avinoam
    Kvatinsky, Shahar
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (10) : 2408 - 2421
  • [22] Dynamic multilayer neural networks for nonlinear system on-line identification
    Yu, W
    Poznyak, AS
    Sanchez, EN
    [J]. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2000, : 25 - 30
  • [23] Multilayer neural networks:: an experimental evaluation of on-line training methods
    Martí, R
    El-Fallahi, A
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2004, 31 (09) : 1491 - 1513
  • [24] A training data selection in on-line training for multilayer neural networks
    Hara, K
    Nakayama, K
    Kharaf, AAM
    [J]. IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 2247 - 2252
  • [25] On-line learning theory of soft committee machines with correlated hidden units - Steepest gradient descent and natural gradient descent
    Inoue, M
    Park, H
    Okada, M
    [J]. JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 2003, 72 (04) : 805 - 810
  • [26] Gradient Descent for Spiking Neural Networks
    Huh, Dongsung
    Sejnowski, Terrence J.
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [27] INVERSION OF NEURAL NETWORKS BY GRADIENT DESCENT
    KINDERMANN, J
    LINDEN, A
    [J]. PARALLEL COMPUTING, 1990, 14 (03) : 277 - 286
  • [28] Adaptive back-propagation in on-line learning of multilayer networks
    West, AHL
    Saad, D
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 8: PROCEEDINGS OF THE 1995 CONFERENCE, 1996, 8 : 323 - 329
  • [29] An adaptive gradient-descent-based neural networks for the on-line solution of linear time variant equations and its applications
    Cai, Jun
    Yi, Chenfu
    [J]. INFORMATION SCIENCES, 2023, 622 : 34 - 45
  • [30] Meta-learning spiking neural networks with surrogate gradient descent
    Stewart, Kenneth M.
    Neftci, Emre O.
    [J]. NEUROMORPHIC COMPUTING AND ENGINEERING, 2022, 2 (04):