On neural networks that design neural associative memories

被引：15
|
作者：
Chan, HY
Zak, SH
机构：
[1] School of Electrical and Computer Engineering, Purdue University, West Lafayette
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1997年 / 8卷 / 02期
关键词：
associative memory; brain-state-in-a-box (BSB) model; constrained optimization; dynamic systems; stability;
D O I：
10.1109/72.557674
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The design problem of generalized brain-state-in-a-box (GBSB) type associative memories is formulated as a constrained optimization program, and ''designer'' neural net works for solving the program in real time are proposed, The stability of the designer networks is analyzed using Barbalat's lemma, The analyzed and synthesized neural associative memories do not require symmetric weight matrices, Two types of the GBSB-based associative memories are analyzed, one when the network trajectories are constrained to reside in the hypercube [-1,1](n) and the other type when the network trajectories are confined to stay in the hypercube [0,1](n). Numerical examples and simulations are presented to illustrate the results obtained.
引用
收藏
页码：360 / 372
页数：13
相关论文
共 50 条
  • [41] Two-Layer Feedback Neural Networks with Associative Memories
    Wu Gui-Kun
    Zhao Hong
    CHINESE PHYSICS LETTERS, 2008, 25 (11) : 3871 - 3874
  • [42] An optimization approach to design of generalized BSB neural associative memories
    Park, J
    Park, Y
    NEURAL COMPUTATION, 2000, 12 (06) : 1449 - 1462
  • [43] Design of GBSB neural associative memories using semidefinite programming
    Park, J
    Cho, H
    Park, D
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (04): : 946 - 950
  • [44] Design of GBSB neural associative memories using semidefinite programming
    Department of Control and Instrumentation Engineering, Korea University, Chochiwon, Chungnam, 339-800, Korea, Republic of
    不详
    IEEE Trans Neural Networks, 4 (946-950):
  • [45] On the design of BSB neural associative memories using semidefinite programming
    Park, J
    Cho, H
    Park, D
    NEURAL COMPUTATION, 1999, 11 (08) : 1985 - 1994
  • [46] Quantum learning for neural associative memories
    Rigatos, G. G.
    Tzafestas, S. G.
    FUZZY SETS AND SYSTEMS, 2006, 157 (13) : 1797 - 1813
  • [47] Neural associative memories and sparse coding
    Palm, Guenther
    NEURAL NETWORKS, 2013, 37 : 163 - 169
  • [48] Adaptive Clipping for Neural Associative Memories
    CHANG Shengjiang SHEN JinyuanSONG Zhuang ZHANG Yanxin(Institute of Modern Optics
    Chinese Journal of Lasers, 1997, (04) : 85 - 90
  • [49] NEURAL ASSOCIATIVE MEMORIES WITH MINIMUM CONNECTIVITY
    CAIANIELLO, ER
    DEBENEDICTIS, A
    PETROSINO, A
    TAGLIAFERRI, R
    NEURAL NETWORKS, 1992, 5 (03) : 433 - 439
  • [50] FAULT TOLERANCE OF NEURAL ASSOCIATIVE MEMORIES
    NIJHUIS, JAG
    SPAANENBURG, L
    IEE PROCEEDINGS-E COMPUTERS AND DIGITAL TECHNIQUES, 1989, 136 (05): : 389 - 394
12345