Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion

被引：0
|
作者：
Qiuhong Xiang
Bolin Liao
Lin Xiao
Long Lin
Shuai Li
机构：
[1] Jishou University,College of Mathematics and Statistics
[2] Jishou University,College of Information Science and Engineering
[3] Lanzhou University,School of Information Science and Engineering
[4] Hong Kong Polytechnic University,Department of Computing
来源：
Soft Computing | 2019年 / 23卷
关键词：
Discrete time; Noise tolerant; Dynamic matrix pseudoinverse; Theoretical analysis; Numerical examples;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this work, a discrete-time noise-tolerant Zhang neural network (DTNTZNN) model is proposed, developed, and investigated for dynamic matrix pseudoinversion. Theoretical analyses show that the proposed DTNTZNN model is inherently tolerant to noises and can simultaneously deal with different types of noise. For comparison, the discrete-time conventional Zhang neural network (DTCZNN) model is also presented and analyzed to solve the same dynamic problem. Numerical examples and results demonstrate the efficacy and superiority of the proposed DTNTZNN model for dynamic matrix pseudoinversion in the presence of various types of noise.
引用
收藏
页码：755 / 766
页数：11
相关论文
共 50 条
  • [31] A noise-tolerant dynamic circuit design technique
    Balamurugan, G
    Shanbhag, NR
    PROCEEDINGS OF THE IEEE 2000 CUSTOM INTEGRATED CIRCUITS CONFERENCE, 2000, : 425 - 428
  • [32] New Noise-Tolerant Dynamic Circuit Design
    Su, Wei
    Jia, Song
    Li, Xiayu
    Liu, Limin
    Wang, Yuan
    2009 IEEE INTERNATIONAL CONFERENCE OF ELECTRON DEVICES AND SOLID-STATE CIRCUITS (EDSSC 2009), 2009, : 254 - +
  • [33] Discrete-Time Zhang Neural Networks for Time-Varying Nonlinear Optimization
    Sun, Min
    Tian, Maoying
    Wang, Yiju
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2019, 2019
  • [34] Quick noise-tolerant learning in a multi-layer memristive neural network
    Chen, Ling
    Li, Chuandong
    Huang, Tingwen
    Wang, Xin
    NEUROCOMPUTING, 2014, 129 : 122 - 126
  • [35] General Five-Step Discrete-Time Zhang Neural Network for Time-Varying Nonlinear Optimization
    Min Sun
    Yiju Wang
    Bulletin of the Malaysian Mathematical Sciences Society, 2020, 43 : 1741 - 1760
  • [36] NOISE FILTRATION IN DYNAMIC REGIMES WITH DISCRETE-TIME
    PIKOVSKY, AS
    RADIOTEKHNIKA I ELEKTRONIKA, 1986, 31 (05): : 911 - 914
  • [37] General Five-Step Discrete-Time Zhang Neural Network for Time-Varying Nonlinear Optimization
    Sun, Min
    Wang, Yiju
    BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY, 2020, 43 (02) : 1741 - 1760
  • [38] Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion
    Tan, Zhiguo
    Xiao, Lin
    Chen, Siyuan
    Lv, Xuanjiao
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (03) : 1591 - 1601
  • [39] A nonnegative matrix factorization algorithm based on a discrete-time projection neural network
    Che, Hangjun
    Wang, Jun
    NEURAL NETWORKS, 2018, 103 : 63 - 71
  • [40] Robustness analyses and optimal sampling gap of recurrent neural network for dynamic matrix Pseudoinversion
    Liao B.
    Xiang Q.
    Liao, Bolin (mulinliao8184@163.com), 1600, Fuji Technology Press (21): : 778 - 784
12345