BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 10529081)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all application.
    Li S; Li Y; Wang Z
    Neural Netw; 2013 Mar; 39():27-39. PubMed ID: 23334164
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A biologically inspired neural network for dynamic programming.
    Francelin Romero RA; Kacpryzk J; Gomide F
    Int J Neural Syst; 2001 Dec; 11(6):561-72. PubMed ID: 11852439
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A two-layer recurrent neural network for nonsmooth convex optimization problems.
    Qin S; Xue X
    IEEE Trans Neural Netw Learn Syst; 2015 Jun; 26(6):1149-60. PubMed ID: 25051563
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A complex-valued neural dynamical optimization approach and its stability analysis.
    Zhang S; Xia Y; Zheng W
    Neural Netw; 2015 Jan; 61():59-67. PubMed ID: 25462634
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A novel neural network for variational inequalities with linear and nonlinear constraints.
    Gao XB; Liao LZ; Qi L
    IEEE Trans Neural Netw; 2005 Nov; 16(6):1305-17. PubMed ID: 16342476
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A one-layer recurrent neural network for constrained nonsmooth optimization.
    Liu Q; Wang J
    IEEE Trans Syst Man Cybern B Cybern; 2011 Oct; 41(5):1323-33. PubMed ID: 21536534
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. Finite-time convergent recurrent neural network with a hard-limiting activation function for constrained optimization with piecewise-linear objective functions.
    Liu Q; Wang J
    IEEE Trans Neural Netw; 2011 Apr; 22(4):601-13. PubMed ID: 21402513
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Neural networks for nonlinear and mixed complementarity problems and their applications.
    Dang C; Leung Y; Gao XB; Chen KZ
    Neural Netw; 2004 Mar; 17(2):271-83. PubMed ID: 15036344
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.