These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
205 related articles for article (PubMed ID: 26672052)
1. A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems. Xia Y; Wang J IEEE Trans Neural Netw Learn Syst; 2016 Feb; 27(2):214-24. PubMed ID: 26672052 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network. Hu X; Wang J IEEE Trans Neural Netw; 2006 Nov; 17(6):1487-99. PubMed ID: 17131663 [TBL] [Abstract][Full Text] [Related]
4. A Projection Neural Network for Constrained Quadratic Minimax Optimization. Liu Q; Wang J IEEE Trans Neural Netw Learn Syst; 2015 Nov; 26(11):2891-900. PubMed ID: 25966485 [TBL] [Abstract][Full Text] [Related]
5. Solving quadratic programming problems by delayed projection neural network. Yang Y; Cao J IEEE Trans Neural Netw; 2006 Nov; 17(6):1630-4. PubMed ID: 17131675 [TBL] [Abstract][Full Text] [Related]
6. A general projection neural network for solving monotone variational inequalities and related optimization problems. Xia Y; Wang J IEEE Trans Neural Netw; 2004 Mar; 15(2):318-28. PubMed ID: 15384525 [TBL] [Abstract][Full Text] [Related]
7. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization. Liu Q; Guo Z; Wang J Neural Netw; 2012 Feb; 26():99-109. PubMed ID: 22019190 [TBL] [Abstract][Full Text] [Related]
8. Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems. Hu X; Wang J IEEE Trans Syst Man Cybern B Cybern; 2007 Oct; 37(5):1414-21. PubMed ID: 17926722 [TBL] [Abstract][Full Text] [Related]
9. A one-layer projection neural network for nonsmooth optimization subject to linear equalities and bound constraints. Liu Q; Wang J IEEE Trans Neural Netw Learn Syst; 2013 May; 24(5):812-24. PubMed ID: 24808430 [TBL] [Abstract][Full Text] [Related]
10. A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables. Zhang S; Xia Y; Wang J IEEE Trans Neural Netw Learn Syst; 2015 Dec; 26(12):3227-38. PubMed ID: 26168448 [TBL] [Abstract][Full Text] [Related]
11. An Inertial Projection Neural Network for Solving Variational Inequalities. Xing He ; Tingwen Huang ; Junzhi Yu ; Chuandong Li ; Chaojie Li IEEE Trans Cybern; 2017 Mar; 47(3):809-814. PubMed ID: 26887026 [TBL] [Abstract][Full Text] [Related]
12. Discrete-time neural network for fast solving large linear L1 estimation problems and its application to image restoration. Xia Y; Sun C; Zheng WX IEEE Trans Neural Netw Learn Syst; 2012 May; 23(5):812-20. PubMed ID: 24806129 [TBL] [Abstract][Full Text] [Related]
13. A new neural network for solving nonlinear projection equations. Xia Y; Feng G Neural Netw; 2007 Jul; 20(5):577-89. PubMed ID: 17452092 [TBL] [Abstract][Full Text] [Related]
14. Design of recurrent neural networks for solving constrained least absolute deviation problems. Hu X; Sun C; Zhang B IEEE Trans Neural Netw; 2010 Jul; 21(7):1073-86. PubMed ID: 20562048 [TBL] [Abstract][Full Text] [Related]
15. A new one-layer neural network for linear and quadratic programming. Gao X; Liao LZ IEEE Trans Neural Netw; 2010 Jun; 21(6):918-29. PubMed ID: 20388594 [TBL] [Abstract][Full Text] [Related]
16. A recurrent neural network for solving a class of generalized convex optimization problems. Hosseini A; Wang J; Hosseini SM Neural Netw; 2013 Aug; 44():78-86. PubMed ID: 23584134 [TBL] [Abstract][Full Text] [Related]
17. A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints. Xia Y; Kamel MS Neural Comput; 2008 Mar; 20(3):844-72. PubMed ID: 18370841 [TBL] [Abstract][Full Text] [Related]
18. A neurodynamic approach to convex optimization problems with general constraint. Qin S; Liu Y; Xue X; Wang F Neural Netw; 2016 Dec; 84():113-124. PubMed ID: 27718390 [TBL] [Abstract][Full Text] [Related]
19. A recurrent neural network for solving bilevel linear programming problem. He X; Li C; Huang T; Li C; Huang J IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):824-30. PubMed ID: 24807959 [TBL] [Abstract][Full Text] [Related]
20. Neural network for solving convex quadratic bilevel programming problems. He X; Li C; Huang T; Li C Neural Netw; 2014 Mar; 51():17-25. PubMed ID: 24333480 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]