Two-Layer Feedback Neural Networks with Associative Memories

被引：0
|
作者：
Wu Gui-Kun [1 ]
Zhao Hong
机构：
[1] Xiamen Univ, Dept Phys, Xiamen 361005, Peoples R China
来源：
CHINESE PHYSICS LETTERS | 2008年 / 25卷 / 11期
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We construct a two-layer feedback neural network by a Monte Carlo based algorithm to store memories as fixed-point attractors or as limit-cycle attractors. Special attention is focused on comparing the dynamics of the network with limit-cycle attractors and with fixed-point attractors. It is found that the former has better retrieval property than the latter. Particularly, spurious memories may be suppressed completely when the memories are stored as a long-limit cycle. Potential application of limit-cycle-attractor networks is discussed briefly.
引用
收藏
页码：3871 / 3874
页数：4
相关论文
共 50 条
  • [21] Capacity of cellular neural networks as associative memories
    Lukianiuk, A
    1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96), 1996, : 37 - 40
  • [22] Learning behavior and temporary minima of two-layer neural networks
    Annema, Anne-Johan
    Hoen, Klaas
    Wallinga, Hans
    Neural Networks, 1994, 7 (09): : 1387 - 1404
  • [23] Convergence Analysis of Two-layer Neural Networks with ReLU Activation
    Li, Yuanzhi
    Yuan, Yang
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [24] APPROXIMATION PROPERTIES OF SOME TWO-LAYER FEEDFORWARD NEURAL NETWORKS
    Nowak, Michal A.
    OPUSCULA MATHEMATICA, 2007, 27 (01) : 59 - 72
  • [25] A Global Universality of Two-Layer Neural Networks with ReLU Activations
    Hatano, Naoya
    Ikeda, Masahiro
    Ishikawa, Isao
    Sawano, Yoshihiro
    JOURNAL OF FUNCTION SPACES, 2021, 2021
  • [26] Capacity of two-layer feedforward neural networks with binary weights
    Ji, CY
    Psaltis, D
    IEEE TRANSACTIONS ON INFORMATION THEORY, 1998, 44 (01) : 256 - 268
  • [27] A PRIORI ESTIMATES OF THE POPULATION RISK FOR TWO-LAYER NEURAL NETWORKS
    E, Weinan
    Ma, Chao
    Wu, Lei
    COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2019, 17 (05) : 1407 - 1425
  • [28] l1 Regularization in Two-Layer Neural Networks
    Li, Gen
    Gu, Yuantao
    Ding, Jie
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 135 - 139
  • [29] A mean field view of the landscape of two-layer neural networks
    Mei, Song
    Montanari, Andrea
    Phan-Minh Nguyen
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (33) : E7665 - E7671
  • [30] SPARSELY INTERCONNECTED NEURAL NETWORKS FOR ASSOCIATIVE MEMORIES WITH APPLICATIONS TO CELLULAR NEURAL NETWORKS
    LIU, D
    MICHEL, AN
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 1994, 41 (04) : 295 - 307
12345