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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 11052413)

  • 1. A discrete-time Lagrangian network for solving constrained quadratic programs.
    Tang WS; Wang J
    Int J Neural Syst; 2000 Aug; 10(4):261-5. PubMed ID: 11052413
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A one-layer recurrent neural network for constrained nonsmooth invex optimization.
    Li G; Yan Z; Wang J
    Neural Netw; 2014 Feb; 50():79-89. PubMed ID: 24292024
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A non-penalty recurrent neural network for solving a class of constrained optimization problems.
    Hosseini A
    Neural Netw; 2016 Jan; 73():10-25. PubMed ID: 26519931
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
    Xia Y; Feng G; Wang J
    Neural Netw; 2004 Sep; 17(7):1003-15. PubMed ID: 15312842
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Quasi-Lagrangian neural network for convex quadratic optimization.
    Costantini G; Perfetti R; Todisco M
    IEEE Trans Neural Netw; 2008 Oct; 19(10):1804-9. PubMed ID: 18842483
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks.
    Cheng L; Hou ZG; Lin Y; Tan M; Zhang WC; Wu FX
    IEEE Trans Neural Netw; 2011 May; 22(5):714-26. PubMed ID: 21427022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A neural network methodology of quadratic optimization.
    Wu A; Tam PK
    Int J Neural Syst; 1999 Apr; 9(2):87-93. PubMed ID: 10529081
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Neural network for constrained nonsmooth optimization using Tikhonov regularization.
    Qin S; Fan D; Wu G; Zhao L
    Neural Netw; 2015 Mar; 63():272-81. PubMed ID: 25590563
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A delayed projection neural network for solving linear variational inequalities.
    Cheng L; Hou ZG; Tan M
    IEEE Trans Neural Netw; 2009 Jun; 20(6):915-25. PubMed ID: 19423439
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A delayed neural network method for solving convex optimization problems.
    Yang Y; Cao J
    Int J Neural Syst; 2006 Aug; 16(4):295-303. PubMed ID: 16972317
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new gradient-based neural network for solving linear and quadratic programming problems.
    Leung Y; Chen KZ; Jiao YC; Gao XB; Leung KS
    IEEE Trans Neural Netw; 2001; 12(5):1074-83. PubMed ID: 18249935
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A novel neural dynamical approach to convex quadratic program and its efficient applications.
    Xia Y; Sun C
    Neural Netw; 2009 Dec; 22(10):1463-70. PubMed ID: 19410427
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A high-performance feedback neural network for solving convex nonlinear programming problems.
    Leung Y; Chen KZ; Gao XB
    IEEE Trans Neural Netw; 2003; 14(6):1469-77. PubMed ID: 18244592
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A one-layer recurrent neural network for constrained nonconvex optimization.
    Li G; Yan Z; Wang J
    Neural Netw; 2015 Jan; 61():10-21. PubMed ID: 25462630
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.