An exact learning algorithm for autoassociative neural networks with binary couplings

被引：4
|
作者：
Milde, G
Kobe, S
机构：
[1] Inst. für Theoretische Physik, Technische Universität Dresden
来源：
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1997年 / 30卷 / 07期
关键词：
D O I：
10.1088/0305-4470/30/7/016
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Exact solutions for the learning problem of autoassociative networks with binary couplings are determined by a new method. The use of a branch-and-bound algorithm leads to a substantial saving of computational time compared with complete enumeration. As a result, fully connected networks with up to 40 neurons could be investigated. The network capacity is found to be close to 0.83.
引用
收藏
页码：2349 / 2352
页数：4
相关论文
共 50 条
  • [1] Mirror image learning for autoassociative neural networks
    Shimizu, S
    Ohyama, W
    Wakabayashi, T
    Kimura, F
    [J]. SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 804 - 808
  • [2] The research on learning algorithm of binary neural networks
    Hua, Q
    Zheng, QL
    [J]. PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 541 - 546
  • [3] A flexible learning algorithm for binary neural networks
    Yamamoto, A
    Saito, T
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 1998, E81A (09): : 1925 - 1930
  • [4] STUDY OF A LEARNING ALGORITHM FOR NEURAL NETWORKS WITH DISCRETE SYNAPTIC COUPLINGS
    VICENTE, CJP
    CARRABINA, J
    VALDERRAMA, E
    [J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS, 1992, 3 (02) : 165 - 176
  • [5] AUTOASSOCIATIVE NEURAL NETWORKS
    KRAMER, MA
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 1992, 16 (04) : 313 - 328
  • [6] ANEFFICIENT LEARNING ALGORITHM FOR BINARY FEEDFORWARD NEURAL NETWORKS
    Zhou, Jianxin
    Zeng, Xiaoqin
    Chan, Patrick P. K.
    [J]. PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOL. 2, 2015, : 609 - 615
  • [7] An efficient learning algorithm for binary feedforward neural networks
    Zeng X.
    Zhou J.
    Zheng X.
    Zhong S.
    [J]. Zhou, Jianxin (zhoujx0219@163.com), 2016, Harbin Institute of Technology (48): : 148 - 154
  • [8] LEARNING TIMES OF NEURAL NETWORKS - EXACT SOLUTION FOR A PERCEPTRON ALGORITHM
    OPPER, M
    [J]. PHYSICAL REVIEW A, 1988, 38 (07) : 3824 - 3826
  • [9] Dynamics of autoassociative neural networks
    Morinaga, S
    Yoshizawa, S
    [J]. PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2, 1998, : 233 - 236
  • [10] Adaptive learning rule for binary couplings networks
    Hendrich, N
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL V, 2000, : 573 - 578
12345