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 *

133 related articles for article (PubMed ID: 18276497)

  • 1. A two-phase optimization neural network.
    Maa CY; Schanblatt MA
    IEEE Trans Neural Netw; 1992; 3(6):1003-9. PubMed ID: 18276497
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neural network for solving linear programming problems with bounded variables.
    Xia Y; Wang J
    IEEE Trans Neural Netw; 1995; 6(2):515-9. PubMed ID: 18263338
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new neural network for solving linear and quadratic programming problems.
    Xia Y
    IEEE Trans Neural Netw; 1996; 7(6):1544-8. PubMed ID: 18263554
    [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. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Analysis and design of primal-dual assignment networks.
    Wang J; Xia Y
    IEEE Trans Neural Netw; 1998; 9(1):183-94. PubMed ID: 18252440
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Solving Multiextremal Problems by Using Recurrent Neural Networks.
    Malek A; Hosseinipour-Mahani N
    IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):1562-1574. PubMed ID: 28328515
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A novel recurrent neural network with finite-time convergence for linear programming.
    Liu Q; Cao J; Chen G
    Neural Comput; 2010 Nov; 22(11):2962-78. PubMed ID: 20804382
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neural network for solving extended linear programming problems.
    Xia Y
    IEEE Trans Neural Netw; 1997; 8(3):803-6. PubMed ID: 18255682
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A new neural network for solving linear programming problems and its application.
    Xia Y
    IEEE Trans Neural Netw; 1996; 7(2):525-9. PubMed ID: 18255604
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation.
    Feng R; Leung CS; Constantinides AG; Zeng WJ
    IEEE Trans Neural Netw Learn Syst; 2017 Oct; 28(10):2395-2407. PubMed ID: 27479978
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A high-performance neural network for solving linear and quadratic programming problems.
    Wu XY; Xia YS; Li J; Chen WK
    IEEE Trans Neural Netw; 1996; 7(3):643-51. PubMed ID: 18263461
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.