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 *

74 related articles for article (PubMed ID: 10496474)

  • 1. Catastrophic forgetting in simple networks: an analysis of the pseudorehearsal solution.
    Frean M; Robins A
    Network; 1999 Aug; 10(3):227-36. PubMed ID: 10496474
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Are multi-layer backpropagation networks catastrophically amnesic?
    Yamaguchi M
    Scand J Psychol; 2004 Nov; 45(5):357-61. PubMed ID: 15535804
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parallel Hopfield networks.
    Wilson RC
    Neural Comput; 2009 Mar; 21(3):831-50. PubMed ID: 18928366
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal exponential synchronization of general chaotic delayed neural networks: an LMI approach.
    Liu M
    Neural Netw; 2009 Sep; 22(7):949-57. PubMed ID: 19443178
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
    Auer P; Burgsteiner H; Maass W
    Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Orthogonality is not a panacea: backpropagation and "catastrophic interference".
    Yamaguchi M
    Scand J Psychol; 2006 Oct; 47(5):339-44. PubMed ID: 16987202
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Methods for reducing interference in the Complementary Learning Systems model: oscillating inhibition and autonomous memory rehearsal.
    Norman KA; Newman EL; Perotte AJ
    Neural Netw; 2005 Nov; 18(9):1212-28. PubMed ID: 16260116
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Asymptotic stability for neural networks with mixed time-delays: the discrete-time case.
    Liu Y; Wang Z; Liu X
    Neural Netw; 2009 Jan; 22(1):67-74. PubMed ID: 19028076
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Global exponential stability of impulsive high-order BAM neural networks with time-varying delays.
    Ho DW; Liang J; Lam J
    Neural Netw; 2006 Dec; 19(10):1581-90. PubMed ID: 16580174
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Elements for a general memory structure: properties of recurrent neural networks used to form situation models.
    Makarov VA; Song Y; Velarde MG; Hübner D; Cruse H
    Biol Cybern; 2008 May; 98(5):371-95. PubMed ID: 18350312
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On periodic solutions of neural networks via differential inclusions.
    Liu X; Cao J
    Neural Netw; 2009 May; 22(4):329-34. PubMed ID: 19118977
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Bayesian attractor network with incremental learning.
    Sandberg A; Lansner A; Petersson KM; Ekeberg O
    Network; 2002 May; 13(2):179-94. PubMed ID: 12061419
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates.
    Zeng Z; Wang J
    Neural Netw; 2009; 22(5-6):651-7. PubMed ID: 19604674
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays.
    Zeng Z; Wang J
    Neural Comput; 2007 Aug; 19(8):2149-82. PubMed ID: 17571941
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convergence analysis of a simple minor component analysis algorithm.
    Peng D; Yi Z; Luo W
    Neural Netw; 2007 Sep; 20(7):842-50. PubMed ID: 17765471
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems.
    Vrabie D; Lewis F
    Neural Netw; 2009 Apr; 22(3):237-46. PubMed ID: 19362449
    [TBL] [Abstract][Full Text] [Related]  

  • 19. New necessary and sufficient conditions for absolute stability of neural networks.
    Chu T; Zhang C
    Neural Netw; 2007 Jan; 20(1):94-101. PubMed ID: 16890404
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Associative memory by recurrent neural networks with delay elements.
    Miyoshi S; Yanai HF; Okada M
    Neural Netw; 2004 Jan; 17(1):55-63. PubMed ID: 14690707
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.