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 *

121 related articles for article (PubMed ID: 18255585)

  • 1. On a natural homotopy between linear and nonlinear single-layer networks.
    Coetzee FM; Stonick VL
    IEEE Trans Neural Netw; 1996; 7(2):307-17. PubMed ID: 18255585
    [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. 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]  

  • 4. 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]  

  • 5. On the uniqueness of weights in single-layer perceptrons.
    Coetzee FM; Stonick VL
    IEEE Trans Neural Netw; 1996; 7(2):318-25. PubMed ID: 18255586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 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. Global convergence and limit cycle behavior of weights of perceptron.
    Ho CY; Ling BW; Lam HK; Nasir MH
    IEEE Trans Neural Netw; 2008 Jun; 19(6):938-47. PubMed ID: 18541495
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A hybrid linear/nonlinear training algorithm for feedforward neural networks.
    McLoone S; Brown MD; Irwin G; Lightbody A
    IEEE Trans Neural Netw; 1998; 9(4):669-84. PubMed ID: 18252490
    [TBL] [Abstract][Full Text] [Related]  

  • 12. FEM-based neural-network approach to nonlinear modeling with application to longitudinal vehicle dynamics control.
    Kalkkuhl J; Hunt KJ; Fritz H
    IEEE Trans Neural Netw; 1999; 10(4):885-97. PubMed ID: 18252584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Finite-horizon control-constrained nonlinear optimal control using single network adaptive critics.
    Heydari A; Balakrishnan SN
    IEEE Trans Neural Netw Learn Syst; 2013 Jan; 24(1):145-57. PubMed ID: 24808214
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel approach for solving constrained nonlinear optimization problems using neurofuzzy systems.
    da Silva IN; de Souza AN; Bordon ME
    Int J Neural Syst; 2001 Jun; 11(3):281-6. PubMed ID: 11577380
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of the convergence properties of topology preserving neural networks.
    Lo ZP; Yu Y; Bavarian B
    IEEE Trans Neural Netw; 1993; 4(2):207-20. PubMed ID: 18267721
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid Training Method for MLP: Optimization of Architecture and Training.
    Zanchettin C; Ludermir TB; Almeida LM
    IEEE Trans Syst Man Cybern B Cybern; 2011 Aug; 41(4):1097-109. PubMed ID: 21317085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints.
    Guo Z; Liu Q; Wang J
    IEEE Trans Neural Netw; 2011 Dec; 22(12):1892-900. PubMed ID: 22057059
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A new Jacobian matrix for optimal learning of single-layer neural networks.
    Peng JX; Li K; Irwin GW
    IEEE Trans Neural Netw; 2008 Jan; 19(1):119-29. PubMed ID: 18269943
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A general methodology for designing globally convergent optimization neural networks.
    Xia Y; Wang J
    IEEE Trans Neural Netw; 1998; 9(6):1331-43. PubMed ID: 18255813
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.