The capacity and attractor basins of associative memory models

被引：0
|
作者：
Davey, N [1 ]
Hunt, SP [1 ]
机构：
[1] Univ Hertfordshire, Dept Comp Sci, Hatfield AL10 9AB, Herts, England
来源：
FOUNDATIONS AND TOOLS FOR NEURAL MODELING, PROCEEDINGS, VOL I | 1999年 / 1606卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of attraction. We find that the post-training adjustment of processor thresholds has, at best, little or no effect on performance, and at worst a significant negative effect. The adoption of a local learning rule can, however, give rise to significant performance gains.
引用
收藏
页码：330 / 339
页数：10
相关论文
共 50 条
  • [1] Memory capacity of terminal attractor optical associative memory
    Lin, X
    Ohtsubo, J
    OPTICAL RECORDING, STORAGE, AND RETRIEVAL SYSTEMS, 1996, 2890 : 116 - 123
  • [2] Capacity of optical associative memory using a terminal attractor model
    Lin, X
    Ohtsubo, J
    Mori, M
    OPTICS COMMUNICATIONS, 1998, 146 (1-6) : 49 - 54
  • [3] Delay for the capacity-simplicity dilemma in associative memory attractor networks
    Zou, Shaofen
    Chen, Yuming
    Ma, Jianfu
    Wu, Jianhong
    NEURAL NETWORKS, 2012, 29-30 : 37 - 51
  • [4] Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory
    Anders Lansner
    Erik Fransén
    Anders Sandberg
    Theory in Biosciences, 2003, 122 (1) : 19 - 36
  • [5] Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory
    Lansner, A
    Fransén, E
    Sandberg, A
    THEORY IN BIOSCIENCES, 2003, 122 (01) : 19 - 36
  • [6] High capacity, small world associative memory models
    Davey, Neil
    Calcraft, Lee
    Adams, Rod
    CONNECTION SCIENCE, 2006, 18 (03) : 247 - 264
  • [7] Selective connectivity enhances storage capacity in attractor models of memory function
    Emina, Facundo
    Kropff, Emilio
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2022, 16
  • [8] High capacity associative memory models - Binary and bipolar representation
    Davey, N
    Frank, R
    Hunt, S
    Adams, R
    Calcraft, L
    Proceedings of the Eighth IASTED International Conference on Artificial Intelligence and Soft Computing, 2004, : 392 - 397
  • [9] Terminal attractor optical associative memory for pattern recognition
    Lin, X
    Mori, M
    Ohtsubo, J
    Watanabe, M
    JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS SHORT NOTES & REVIEW PAPERS, 2000, 39 (2B): : 908 - 911
  • [10] Terminal attractor optical associative memory for pattern recognition
    Lin, X
    Mori, M
    Ohtsubo, J
    Watanabe, M
    JOINT INTERNATIONAL SYMPOSIUM ON OPTICAL MEMORY AND OPTICAL DATA STORAGE 1999, 1999, 3864 : 145 - 147
12345