A fixed-time converging neurodynamic approach with time-varying coefficients for l1-minimization problem-Reference-Cited by-同舟云学术

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A fixed-time converging neurodynamic approach with time-varying coefficients for l1-minimization problem

Published:2024-01 Issue: Volume:654 Page:119876
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Xu Jing,Li Chuandong,He Xing,Wen Hongsong,Zhang Xiaoyu

Funder

Chongqing Graduate Student Research Innovation Project

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference48 articles.

1. Study of genetic regulatory networks with Stepanov-like pseudo-weighted almost automorphic coefficients;Aouiti;Neural Comput. Appl.,2021

2. New results on stabilization of complex-valued second-order memristive neural networks with mixed delays and discontinuous activations functions;Aouiti;Comput. Appl. Math.,2022

3. Second-order nonlinear differential equations: existence, uniqueness and global exponential stability of doubly measure pseudo-almost automorphic solutions;Aouiti;Int. J. Comput. Math.,2022

4. Global dissipativity of quaternion-valued fuzzy cellular fractional-order neural networks with time delays;Aouiti;Neural Process. Lett.,2023

5. Missing low-rank and sparse decomposition based on smoothed nuclear norm;Azghani;IEEE Trans. Circuits Syst. Video Technol.,2020

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