THE HEBB RULE - STORING STATIC AND DYNAMIC OBJECTS IN AN ASSOCIATIVE NEURAL NETWORK

被引：38
|
作者：
HERZ, AV
SULZER, B
KUHN, R
VANHEMMEN, JL
机构：
来源：
EUROPHYSICS LETTERS | 1988年 / 7卷 / 07期
关键词：
D O I：
10.1209/0295-5075/7/7/016
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
引用
收藏
页码：663 / 669
页数：7
相关论文
共 50 条
  • [1] HEBBIAN LEARNING - A CANONICAL WAY OF REPRESENTING STATIC AND DYNAMIC OBJECTS IN AN ASSOCIATIVE NEURAL NETWORK
    HERZ, A
    SULZER, B
    KUHN, R
    VANHEMMEN, JL
    NEURAL NETWORKS FROM MODELS TO APPLICATIONS, 1989, : 307 - 315
  • [2] A learning algorithm of multilaver dynamics associative neural network based on generalized Hebb rule
    Pu, YF
    Liao, K
    Zhou, JL
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON INTELLIGENT MECHATRONICS AND AUTOMATION, 2004, : 836 - 841
  • [3] HEBBIAN LEARNING RECONSIDERED - REPRESENTATION OF STATIC AND DYNAMIC OBJECTS IN ASSOCIATIVE NEURAL NETS
    HERZ, AV
    SULZER, B
    KUHN, R
    VANHEMMEN, JL
    BIOLOGICAL CYBERNETICS, 1989, 60 (06) : 457 - 467
  • [4] The phase space of interactions and the Hebb rule in the neural network models
    Uezu, T
    Nokura, K
    PROGRESS OF THEORETICAL PHYSICS, 1996, 95 (02): : 273 - 293
  • [5] A Boolean Hebb rule for binary associative memory design
    Müezzinoglu, MK
    Güzelis, C
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2004, 15 (01): : 195 - 202
  • [6] Phase transitions of an oscillator neural network with a standard Hebb learning rule
    Aonishi, Toru
    Physical Review E. Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 1998, 58 (04):
  • [7] A Boolean Hebb rule for binary associative memory design
    Müezzinoglu, MK
    Güzelis, C
    PROCEEDINGS OF THE 44TH IEEE 2001 MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2001, : 713 - 716
  • [8] Phase transitions of an oscillator neural network with a standard Hebb learning rule
    Aonishi, T
    PHYSICAL REVIEW E, 1998, 58 (04): : 4865 - 4871
  • [9] Phase transitions of an-oscillator neural network with a standard Hebb learning rule
    Aonishi, T
    PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2, 1998, : 367 - 370
  • [10] STOCHASTIC NEURAL NETWORKS WITH THE WEIGHTED HEBB RULE
    MARZBAN, C
    VISWANATHAN, R
    PHYSICS LETTERS A, 1994, 191 (1-2) : 127 - 133
12345