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 *

167 related articles for article (PubMed ID: 34033566)

  • 1. A New Finite-Time Circadian Rhythms Learning Network for Solving Nonlinear and Nonconvex Optimization Problems With Periodic Noises.
    Luo Y; Deng X; Wu J; Liu Y; Zhang Z
    IEEE Trans Cybern; 2022 Nov; 52(11):12514-12524. PubMed ID: 34033566
    [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 Pseudoconvex Optimization Problems With Equality and Inequality Constraints.
    Qin S; Yang X; Xue X; Song J
    IEEE Trans Cybern; 2017 Oct; 47(10):3063-3074. PubMed ID: 27244757
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. A neurodynamic approach to nonlinear optimization problems with affine equality and convex inequality constraints.
    Liu N; Qin S
    Neural Netw; 2019 Jan; 109():147-158. PubMed ID: 30419480
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Subgradient-based neural networks for nonsmooth nonconvex optimization problems.
    Bian W; Xue X
    IEEE Trans Neural Netw; 2009 Jun; 20(6):1024-38. PubMed ID: 19457749
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Neural network for nonsmooth, nonconvex constrained minimization via smooth approximation.
    Bian W; Chen X
    IEEE Trans Neural Netw Learn Syst; 2014 Mar; 25(3):545-56. PubMed ID: 24807450
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization.
    Yan Z; Wang J; Li G
    Neural Netw; 2014 Jul; 55():20-9. PubMed ID: 24705545
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 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. Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation.
    Xiao L; Zhang Z; Zhang Z; Li W; Li S
    Neural Netw; 2018 Sep; 105():185-196. PubMed ID: 29870926
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Direct-Optimization-Based DC Dictionary Learning With the MCP Regularizer.
    Li Z; Yang Z; Zhao H; Xie S
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3568-3579. PubMed ID: 34633934
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint.
    Yu J; Shi P; Liu J; Lin C
    IEEE Trans Cybern; 2022 Jul; 52(7):6676-6683. PubMed ID: 33201833
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Finite-Time Convergence Adaptive Neural Network Control for Nonlinear Servo Systems.
    Na J; Wang S; Liu YJ; Huang Y; Ren X
    IEEE Trans Cybern; 2020 Jun; 50(6):2568-2579. PubMed ID: 30736011
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.