125 related articles for article (PubMed ID: 38232419)
1. Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L
Xu J; He X
Neural Netw; 2024 Apr; 172():106123. PubMed ID: 38232419
[TBL] [Abstract][Full Text] [Related]
2. Neurodynamic approaches for sparse recovery problem with linear inequality constraints.
Yang J; He X; Huang T
Neural Netw; 2022 Nov; 155():592-601. PubMed ID: 36208616
[TBL] [Abstract][Full Text] [Related]
3. Smoothing inertial neurodynamic approach for sparse signal reconstruction via L
Zhao Y; Liao X; He X; Tang R; Deng W
Neural Netw; 2021 Aug; 140():100-112. PubMed ID: 33752140
[TBL] [Abstract][Full Text] [Related]
4. Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization.
Zhao Y; Liao X; He X; Tang R
IEEE Trans Neural Netw Learn Syst; 2022 Dec; 33(12):7488-7501. PubMed ID: 34156950
[TBL] [Abstract][Full Text] [Related]
5. Novel projection neurodynamic approaches for constrained convex optimization.
Zhao Y; Liao X; He X
Neural Netw; 2022 Jun; 150():336-349. PubMed ID: 35344705
[TBL] [Abstract][Full Text] [Related]
6. A second-order accelerated neurodynamic approach for distributed convex optimization.
Jiang X; Qin S; Xue X; Liu X
Neural Netw; 2022 Feb; 146():161-173. PubMed ID: 34864224
[TBL] [Abstract][Full Text] [Related]
7. Neurodynamic approaches for multi-agent distributed optimization.
Guo L; Korovin I; Gorbachev S; Shi X; Gorbacheva N; Cao J
Neural Netw; 2024 Jan; 169():673-684. PubMed ID: 37972511
[TBL] [Abstract][Full Text] [Related]
8. A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems.
Wen X; Luan L; Qin S
Neural Netw; 2021 Nov; 143():52-65. PubMed ID: 34087529
[TBL] [Abstract][Full Text] [Related]
9. An event-triggered collaborative neurodynamic approach to distributed global optimization.
Xia Z; Liu Y; Wang J
Neural Netw; 2024 Jan; 169():181-190. PubMed ID: 37890367
[TBL] [Abstract][Full Text] [Related]
10. A consensus algorithm based on collective neurodynamic system for distributed optimization with linear and bound constraints.
Zhao Y; Liu Q
Neural Netw; 2020 Feb; 122():144-151. PubMed ID: 31678798
[TBL] [Abstract][Full Text] [Related]
11. A continuous-time neurodynamic approach in matrix form for rank minimization.
Zhang M; He X
Neural Netw; 2024 Apr; 172():106128. PubMed ID: 38242008
[TBL] [Abstract][Full Text] [Related]
12. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization.
Yan Z; Wang J; Li G
Neural Netw; 2014 Jul; 55():20-9. PubMed ID: 24705545
[TBL] [Abstract][Full Text] [Related]
13. A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.
Liu J; Liao X; Dong JS; Mansoori A
Neural Netw; 2023 Apr; 161():693-707. PubMed ID: 36848825
[TBL] [Abstract][Full Text] [Related]
14. Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization.
Huang B; Liu Y; Jiang YL; Wang J
Neural Netw; 2024 Jan; 169():83-91. PubMed ID: 37864998
[TBL] [Abstract][Full Text] [Related]
15. A collective neurodynamic penalty approach to nonconvex distributed constrained optimization.
Jia W; Huang T; Qin S
Neural Netw; 2024 Mar; 171():145-158. PubMed ID: 38091759
[TBL] [Abstract][Full Text] [Related]
16. Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm.
Zhao Y; Liao X; He X
Neural Comput; 2022 Jul; 34(8):1727-1755. PubMed ID: 35798330
[TBL] [Abstract][Full Text] [Related]
17. Sparse signal reconstruction via collaborative neurodynamic optimization.
Che H; Wang J; Cichocki A
Neural Netw; 2022 Oct; 154():255-269. PubMed ID: 35908375
[TBL] [Abstract][Full Text] [Related]
18. A Neurodynamic Optimization Approach to Bilevel Quadratic Programming.
Qin S; Le X; Wang J
IEEE Trans Neural Netw Learn Syst; 2017 Nov; 28(11):2580-2591. PubMed ID: 28113639
[TBL] [Abstract][Full Text] [Related]
19. A smoothing neural network for minimization l
Zhao Y; He X; Huang T; Huang J; Li P
Neural Netw; 2020 Feb; 122():40-53. PubMed ID: 31675626
[TBL] [Abstract][Full Text] [Related]
20. A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem.
Xu C; Chai Y; Qin S; Wang Z; Feng J
Neural Netw; 2020 Apr; 124():180-192. PubMed ID: 32007718
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]