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Journal Abstract Search

406 related items for PubMed ID: 20129857

  • 1. On the weight convergence of Elman networks.
    Song Q.
    IEEE Trans Neural Netw; 2010 Mar; 21(3):463-80. PubMed ID: 20129857
    [Abstract] [Full Text] [Related]

  • 2. Robust adaptive gradient-descent training algorithm for recurrent neural networks in discrete time domain.
    Song Q, Wu Y, Soh YC.
    IEEE Trans Neural Netw; 2008 Nov; 19(11):1841-53. PubMed ID: 18990640
    [Abstract] [Full Text] [Related]

  • 3. Magnified gradient function with deterministic weight modification in adaptive learning.
    Ng SC, Cheung CC, Leung SH.
    IEEE Trans Neural Netw; 2004 Nov; 15(6):1411-23. PubMed ID: 15565769
    [Abstract] [Full Text] [Related]

  • 4. Elman backpropagation as reinforcement for simple recurrent networks.
    Grüning A.
    Neural Comput; 2007 Nov; 19(11):3108-31. PubMed ID: 17883351
    [Abstract] [Full Text] [Related]

  • 5. On adaptive learning rate that guarantees convergence in feedforward networks.
    Behera L, Kumar S, Patnaik A.
    IEEE Trans Neural Netw; 2006 Sep; 17(5):1116-25. PubMed ID: 17001974
    [Abstract] [Full Text] [Related]

  • 6. Global convergence of online BP training with dynamic learning rate.
    Zhang R, Xu ZB, Huang GB, Wang D.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):330-41. PubMed ID: 24808511
    [Abstract] [Full Text] [Related]

  • 7. A new adaptive backpropagation algorithm based on Lyapunov stability theory for neural networks.
    Man Z, Wu HR, Liu S, Yu X.
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1580-91. PubMed ID: 17131670
    [Abstract] [Full Text] [Related]

  • 8. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
    Huynh HT, Won Y, Kim JJ.
    Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
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  • 9. Multifeedback-layer neural network.
    Savran A.
    IEEE Trans Neural Netw; 2007 Mar; 18(2):373-84. PubMed ID: 17385626
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  • 10. Parameter incremental learning algorithm for neural networks.
    Wan S, Banta LE.
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1424-38. PubMed ID: 17131658
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  • 11. Adaptive computation algorithm for RBF neural network.
    Han HG, Qiao JF.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):342-7. PubMed ID: 24808512
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  • 12. Recurrent neural networks training with stable bounding ellipsoid algorithm.
    Yu W, de Jesús Rubio J.
    IEEE Trans Neural Netw; 2009 Jun; 20(6):983-91. PubMed ID: 19447727
    [Abstract] [Full Text] [Related]

  • 13. New learning automata based algorithms for adaptation of backpropagation algorithm parameters.
    Meybodi MR, Beigy H.
    Int J Neural Syst; 2002 Feb; 12(1):45-67. PubMed ID: 11852444
    [Abstract] [Full Text] [Related]

  • 14. Neural network training with global optimization techniques.
    Yamazaki A, Ludermir TB.
    Int J Neural Syst; 2003 Apr; 13(2):77-86. PubMed ID: 12923920
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  • 15. Novel maximum-margin training algorithms for supervised neural networks.
    Ludwig O, Nunes U.
    IEEE Trans Neural Netw; 2010 Jun; 21(6):972-84. PubMed ID: 20409990
    [Abstract] [Full Text] [Related]

  • 16. Convergence of cyclic and almost-cyclic learning with momentum for feedforward neural networks.
    Wang J, Yang J, Wu W.
    IEEE Trans Neural Netw; 2011 Aug; 22(8):1297-306. PubMed ID: 21813357
    [Abstract] [Full Text] [Related]

  • 17. Feedback-linearization-based neural adaptive control for unknown nonaffine nonlinear discrete-time systems.
    Deng H, Li HX, Wu YH.
    IEEE Trans Neural Netw; 2008 Sep; 19(9):1615-25. PubMed ID: 18779092
    [Abstract] [Full Text] [Related]

  • 18. Adaptive neural control for strict-feedback nonlinear systems without backstepping.
    Park JH, Kim SH, Moon CJ.
    IEEE Trans Neural Netw; 2009 Jul; 20(7):1204-9. PubMed ID: 19482573
    [Abstract] [Full Text] [Related]

  • 19. Online adaptive policy learning algorithm for H∞ state feedback control of unknown affine nonlinear discrete-time systems.
    Zhang H, Qin C, Jiang B, Luo Y.
    IEEE Trans Cybern; 2014 Dec; 44(12):2706-18. PubMed ID: 25095274
    [Abstract] [Full Text] [Related]

  • 20. Universal approximation of extreme learning machine with adaptive growth of hidden nodes.
    Zhang R, Lan Y, Huang GB, Xu ZB.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):365-71. PubMed ID: 24808516
    [Abstract] [Full Text] [Related]

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