Simplex memory neural networks

被引：2
|
作者：
Ma, JW
机构：
[1] Institute of Mathematics, Shantou University
[2] Institute of Mathematics, Shantou University, Guangdong
来源：
NEURAL NETWORKS | 1997年 / 10卷 / 01期
关键词：
content-addressable memory; associate memory; Hebbian learning rule; pattern; error correcting;
D O I：
10.1016/S0893-6080(96)00059-7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The biological neural network-simplex memory neural network-is proposed to describe the mechanisms of pattern memory in the brain. A mathematical model of the simplex memory neural network is constructed to memorize any binary pattern with content-addressable memory function. Under Hebbian learning rule, the new network has some important functions in accord with the learning and memory behaviors of the brain. Copyright (C) 1996 Elsevier Science Ltd.
引用
收藏
页码：25 / 29
页数：5
相关论文
共 50 条
  • [41] MAXIMUM OVERLAP NEURAL NETWORKS FOR ASSOCIATIVE MEMORY
    ELIZALDE, E
    GOMEZ, S
    ROMEO, A
    PHYSICS LETTERS A, 1992, 170 (02) : 95 - 98
  • [42] Associative memory by neural networks with delays and pruning
    Miyoshi, S
    Okada, M
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2003, 86 (06): : 48 - 58
  • [43] Distributed neural networks of tactile working memory
    Wang, Liping
    Bodner, Mark
    Zhou, Yong-Di
    JOURNAL OF PHYSIOLOGY-PARIS, 2013, 107 (06) : 452 - 458
  • [44] Assessing the Memory Ability of Recurrent Neural Networks
    Zhang, Cheng
    Li, Qiuchi
    Hua, Lingyu
    Song, Dawei
    ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2020, 325 : 1658 - 1665
  • [45] Memory pattern analysis of cellular neural networks
    Zeng, ZG
    Huang, DS
    Wang, ZF
    PHYSICS LETTERS A, 2005, 342 (1-2) : 114 - 128
  • [46] SHAMANN: Shared Memory Augmented Neural Networks
    Bercea, Cosmin I.
    Pauly, Olivier
    Maier, Andreas
    Ghesu, Florin C.
    INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2019, 11492 : 830 - 841
  • [47] Neural Memory Networks for Seizure Type Classification
    Ahmedt-Aristizabal, David
    Fernando, Tharindu
    Denman, Simon
    Petersson, Lars
    Aburn, Matthew J.
    Fookes, Clinton
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 569 - 575
  • [48] IMPLEMENTATION OF NEURAL NETWORKS ON MASSIVE MEMORY ORGANIZATIONS
    MISRA, M
    PRASANNA, VK
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 1992, 39 (07): : 476 - 480
  • [49] Understanding and Controlling Memory in Recurrent Neural Networks
    Haviv, Doron
    Rivkind, Alexnader
    Barak, Omri
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
  • [50] Restoration of the images by neural networks and associative memory
    Mardare, I
    Perju, V
    Information Technologies 2004, 2004, 5822 : 35 - 45
12345