49 related articles for article (PubMed ID: 18701366)
1. A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints.
Xia Y; Feng G; Wang J
IEEE Trans Neural Netw; 2008 Aug; 19(8):1340-53. PubMed ID: 18701366
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Enhancing neurodynamic approach with physics-informed neural networks for solving non-smooth convex optimization problems.
Wu D; Lisser A
Neural Netw; 2023 Nov; 168():419-430. PubMed ID: 37804745
[TBL] [Abstract][Full Text] [Related]
4. Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization.
Xia Y; Ye T; Huang L
IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38157471
[TBL] [Abstract][Full Text] [Related]
5. Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.
Chen J; Pan Y; Zhang Y; Li S; Tan N
Neural Netw; 2024 Jun; 178():106462. PubMed ID: 38901094
[TBL] [Abstract][Full Text] [Related]
6. Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks.
Xia Z; Liu Y; Kou KI; Wang J
IEEE Trans Neural Netw Learn Syst; 2023 Oct; 34(10):7248-7259. PubMed ID: 35030085
[TBL] [Abstract][Full Text] [Related]
7. The Modified HZ Conjugate Gradient Algorithm for Large-Scale Nonsmooth Optimization.
Yuan G; Sheng Z; Liu W
PLoS One; 2016; 11(10):e0164289. PubMed ID: 27780245
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Robust Coevolutionary Neural-Based Optimization Algorithm for Constrained Nonconvex Optimization.
Wei L; Jin L; Luo X
IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7778-7791. PubMed ID: 36399592
[TBL] [Abstract][Full Text] [Related]
10. Gossip-based distributed stochastic mirror descent for constrained optimization.
Fang X; Zhang B; Yuan D
Neural Netw; 2024 Jul; 175():106291. PubMed ID: 38593557
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework.
Shi Y; Ding C; Li S; Li B; Sun X
IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38625777
[TBL] [Abstract][Full Text] [Related]
13. LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data.
Huang X; Shi W; Gao X; Wei X; Zhang J; Bian J; Yang M; Liu TY
Neural Netw; 2024 Aug; 176():106354. PubMed ID: 38723308
[TBL] [Abstract][Full Text] [Related]
14. Numerical performances through artificial neural networks for solving the vector-borne disease with lifelong immunity.
Nur Akkilic A; Sabir Z; Raja MAZ; Bulut H; Sadat R; Ali MR
Comput Methods Biomech Biomed Engin; 2023; 26(15):1785-1795. PubMed ID: 36377246
[TBL] [Abstract][Full Text] [Related]
15. Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework.
Wu D; Lisser A
IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38261500
[TBL] [Abstract][Full Text] [Related]
16. A novel predefined-time neurodynamic approach for mixed variational inequality problems and applications.
Zheng J; Ju X; Zhang N; Xu D
Neural Netw; 2024 Jun; 174():106247. PubMed ID: 38518707
[TBL] [Abstract][Full Text] [Related]
17. A convex formulation for learning a shared predictive structure from multiple tasks.
Chen J; Tang L; Liu J; Ye J
IEEE Trans Pattern Anal Mach Intell; 2013 May; 35(5):1025-38. PubMed ID: 23520249
[TBL] [Abstract][Full Text] [Related]
18. Set-Membership State Estimation for Multirate Nonlinear Complex Networks Under FlexRay Protocols: A Neural-Network-Based Approach.
Shen Y; Wang Z; Dong H; Liu H; Chen Y
IEEE Trans Neural Netw Learn Syst; 2024 Apr; PP():. PubMed ID: 38598399
[TBL] [Abstract][Full Text] [Related]
19. A range division and contraction approach for nonconvex quadratic program with quadratic constraints.
Xue C; Jiao H; Yin J; Chen Y
Springerplus; 2016; 5(1):1064. PubMed ID: 27462512
[TBL] [Abstract][Full Text] [Related]
20. Fixing and extending some recent results on the ADMM algorithm.
Banert S; Boţ RI; Csetnek ER
Numer Algorithms; 2021; 86(3):1303-1325. PubMed ID: 33603318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]