Real-domain QR decomposition models employing zeroing neural network and time-discretization formulas for time-varying matrices-Reference-Cited by-同舟云学术

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Real-domain QR decomposition models employing zeroing neural network and time-discretization formulas for time-varying matrices

Published:2021-08 Issue: Volume:448 Page:217-227
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Zhenyu,Zhang Yunong,Ming Liangjie,Guo Jinjin,Katsikis Vasilios N.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference49 articles.

1. QR-decomposition based SENSE reconstruction using parallel architecture;Ullah;Computers in Biology and Medicine,2018

2. Development of a finite strain two-network model for shape memory polymers using QR decomposition;Ghosh;International Journal of Engineering Science,2014

3. A point pattern matching algorithm based on QR decomposition;Zhu;Optik,2014

4. Color image blind watermarking scheme based on QR decomposition;Su;Signal Processing,2014

5. Block QR decomposition based power system state estimation algorithm;Du;Electric Power Systems Research,2005

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1. A new surface roughness measurement method based on QR-SVM;2023-10-26

2. Continuous and Discrete ZND Models with Aid of Eleven Instants for Complex QR Decomposition of Time-Varying Matrices;Mathematics;2023-07-31

3. Solving Time-Varying Vector-Valued Nonlinear Equations Including Scalar-Valued Ones As Special Cases by Gradient-Zhang Neural Net;2023 42nd Chinese Control Conference (CCC);2023-07-24

4. Bounded Adaptive Function Activated Recurrent Neural Network for Solving the Dynamic QR Factorization;Mathematics;2023-05-15

5. Prescribed time convergence and robust zeroing neural network for solving time-varying linear matrix equation;International Journal of Computer Mathematics;2023-01-23

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