Noise robustness in multilayer neural networks

被引：0
|
作者：
Copelli, M.
Eichhorn, R.
Kinouchi, O.
Biehl, M.
机构：
来源：
Europhysics Letters | / 37卷 / 06期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Noise robustness in multilayer neural networks
    Copelli, M
    Eichhorn, R
    Kinouchi, O
    Biehl, M
    Simonetti, R
    Riegler, P
    Caticha, N
    [J]. EUROPHYSICS LETTERS, 1997, 37 (06): : 427 - 432
  • [2] ROBUSTNESS OF REPRESENTATIONS IN MULTILAYER FEEDFORWARD NEURAL NETWORKS
    DIAMOND, P
    FOMENKO, IV
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1993, 12 (02) : 211 - 221
  • [3] Analyzing the Noise Robustness of Deep Neural Networks
    Liu, Mengchen
    Liu, Shixia
    Su, Hang
    Cao, Kelei
    Zhu, Jun
    [J]. 2018 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), 2018, : 60 - 71
  • [4] Analyzing the Noise Robustness of Deep Neural Networks
    Cao, Kelei
    Liu, Mengchen
    Su, Hang
    Wu, Jing
    Zhu, Jun
    Liu, Shixia
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 27 (07) : 3289 - 3304
  • [5] Learning with noise and regularizers in multilayer neural networks
    Saad, D
    Solla, SA
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE, 1997, 9 : 260 - 266
  • [6] Robustness of convolutional neural networks to physiological electrocardiogram noise
    Venton, J.
    Harris, P. M.
    Sundar, A.
    Smith, N. A. S.
    Aston, P. J.
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2021, 379 (2212):
  • [7] Multilayer perceptron neural networks for active noise cancellation
    Chen, CK
    Chiueh, TD
    [J]. ISCAS 96: 1996 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS - CIRCUITS AND SYSTEMS CONNECTING THE WORLD, VOL 3, 1996, : 523 - 526
  • [8] An efficient test method for noise robustness of deep neural networks
    Yasuda, Muneki
    Sakata, Hironori
    Cho, Seung-Il
    Harada, Tomochika
    Tanaka, Atushi
    Yokoyama, Michio
    [J]. IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2019, 10 (02): : 221 - 235
  • [9] Training Neural Networks with Random Noise Images for Adversarial Robustness
    Park, Ji-Young
    Liu, Lin
    Li, Jiuyong
    Liu, Jixue
    [J]. PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 3358 - 3362
  • [10] Robustness of multilayer oscillator networks
    Morino, Kai
    Tanaka, Gouhei
    Aihara, Kazuyuki
    [J]. PHYSICAL REVIEW E, 2011, 83 (05)
12345