FPGA implementation of hopfield neural network via simultaneous perturbation rule

被引：0
|
作者：
Wakamura, M [1 ]
Maeda, Y [1 ]
机构：
[1] Kansai Univ, Dept Elect Engn, Suita, Osaka 5648680, Japan
来源：
SICE 2003 ANNUAL CONFERENCE, VOLS 1-3 | 2003年
关键词：
implementation; simultaneous perturbation learning rule; Hopfield Neural;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hopfield neural network (HNN) is a typical example of recurrent neural networks. Software implementation of HNN does not obtain sufficient speed in the operation. Therefore, hardware implementation, especially, FPGA implementation of HNN is very promising. Originally, the weights of HNN are. calculated by patterns to be memorized. However, we adopt a recursive learning method via the simultaneous perturbation learning rule.
引用
收藏
页码：1272 / 1275
页数：4
相关论文
共 50 条
  • [31] Improvement of the hopfield neural network by MC-adaptation rule
    Department of Physics, Xiamen University, Xiamen 361005, China
    [J]. Chin. Phys. Lett, 2006, 6 (1402-1405):
  • [32] A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation
    Li, Xiangping
    Yang, Xinsong
    Ju, Xingxing
    [J]. NEURAL NETWORKS, 2024, 179
  • [33] The study on stability of Hopfield neural network with multi-parameter perturbation
    Gao, Haibin
    Sun, Chao
    Hao, Xiaochen
    Liu, Bin
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 783 - 787
  • [34] Sensitivity of optimal control for diffusion Hopfield neural network in the presence of perturbation
    Wang, Quan-Fang
    Nakagiri, Shin-ichi
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2012, 219 (08) : 3793 - 3808
  • [35] FPGA Implementation of Simplified Spiking Neural Network
    Gupta, Shikhar
    Vyas, Arpan
    Trivedi, Gaurav
    [J]. 2020 27TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2020,
  • [36] FPGA Implementation of an Evolving Spiking Neural Network
    Zuppicich, Alan
    Soltic, Snjezana
    [J]. ADVANCES IN NEURO-INFORMATION PROCESSING, PT I, 2009, 5506 : 1129 - 1136
  • [37] Photonic implementation of Hopfield neural network for associative pattern recognition
    Munshi, S
    Bhattacharyya, S
    Datta, AK
    [J]. PHOTONICS 2000: INTERNATIONAL CONFERENCE ON FIBER OPTICS AND PHOTONICS, 2001, 4417 : 558 - 562
  • [38] A generalized updating rule for modified hopfield neural network for quadratic optimization
    Department of Electrical Engineering, Univ. Minnesota, 200 Union St., S.E., Minneapolis, MN 55455, United States
    [J]. Neurocomputing, 1-3 (133-143):
  • [39] Pulse coupled neural network implementation in FPGA
    Waldemark, JTA
    Lindblad, T
    Lindsey, CS
    Waldemark, KE
    Oberg, J
    Millberg, M
    [J]. APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE, 1998, 3390 : 392 - 402
  • [40] FPGA implementation of a neural network for character recognition
    Khan, Farrukh A.
    Uppal, Momin
    Song, Wang-Cheol
    Kang, Min-Jae
    Mirza, Anwar M.
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 2006, 3973 : 1357 - 1365
12345