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 *

221 related articles for article (PubMed ID: 18267797)

  • 1. Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks.
    Puskorius GV; Feldkamp LA
    IEEE Trans Neural Netw; 1994; 5(2):279-97. PubMed ID: 18267797
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A local linearized least squares algorithm for training feedforward neural networks.
    Stan O; Kamen E
    IEEE Trans Neural Netw; 2000; 11(2):487-95. PubMed ID: 18249777
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Convergence study in extended Kalman filter-based training of recurrent neural networks.
    Wang X; Huang Y
    IEEE Trans Neural Netw; 2011 Apr; 22(4):588-600. PubMed ID: 21402512
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.
    Pérez-Ortiz JA; Gers FA; Eck D; Schmidhuber J
    Neural Netw; 2003 Mar; 16(2):241-50. PubMed ID: 12628609
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Decentralized neural identifier and control for nonlinear systems based on extended Kalman filter.
    Castañeda CE; Esquivel P
    Neural Netw; 2012 Jul; 31():81-7. PubMed ID: 22503780
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Pipelined recurrent fuzzy neural networks for nonlinear adaptive speech prediction.
    Stavrakoudis DG; Theocharis JB
    IEEE Trans Syst Man Cybern B Cybern; 2007 Oct; 37(5):1305-20. PubMed ID: 17926711
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An augmented extended Kalman filter algorithm for complex-valued recurrent neural networks.
    Goh SL; Mandic DP
    Neural Comput; 2007 Apr; 19(4):1039-55. PubMed ID: 17348773
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An algorithmic approach to adaptive state filtering using recurrent neural networks.
    Parlos AG; Menon SK; Atiya A
    IEEE Trans Neural Netw; 2001; 12(6):1411-32. PubMed ID: 18249970
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dual extended Kalman filtering in recurrent neural networks(1).
    Leung CS; Chan LW
    Neural Netw; 2003 Mar; 16(2):223-39. PubMed ID: 12628608
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks.
    Sum J; Chan Lw; Leung Cs; Young GH
    Neural Comput; 1998 Jul; 10(6):1481-505. PubMed ID: 9698354
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Recurrent neural network based hybrid model for reconstructing gene regulatory network.
    Raza K; Alam M
    Comput Biol Chem; 2016 Oct; 64():322-334. PubMed ID: 27570069
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Kernel Adaptive Autoregressive-Moving-Average Algorithm.
    Li K; Príncipe JC
    IEEE Trans Neural Netw Learn Syst; 2016 Feb; 27(2):334-46. PubMed ID: 25935049
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.
    Xia Y; Wang J
    Neural Netw; 2015 Jul; 67():131-9. PubMed ID: 25913233
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise.
    Vuković N; Miljković Z
    Neural Netw; 2015 Mar; 63():31-47. PubMed ID: 25436486
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Beyond feedforward models trained by backpropagation: a practical training tool for a more efficient universal approximator.
    Ilin R; Kozma R; Werbos PJ
    IEEE Trans Neural Netw; 2008 Jun; 19(6):929-37. PubMed ID: 18541494
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Synthesis of recurrent neural networks for dynamical system simulation.
    Trischler AP; D'Eleuterio GM
    Neural Netw; 2016 Aug; 80():67-78. PubMed ID: 27182811
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Discrete-time reduced order neural observers for uncertain nonlinear systems.
    Alanis AY; Sanchez EN; Ricalde LJ
    Int J Neural Syst; 2010 Feb; 20(1):29-38. PubMed ID: 20180251
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Synchronization of chaotic systems and identification of nonlinear systems by using recurrent hierarchical type-2 fuzzy neural networks.
    Mohammadzadeh A; Ghaemi S
    ISA Trans; 2015 Sep; 58():318-29. PubMed ID: 25933686
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On-line training of recurrent neural networks with continuous topology adaptation.
    Obradovic D
    IEEE Trans Neural Netw; 1996; 7(1):222-8. PubMed ID: 18255574
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Recurrent neural-network training by a learning automaton approach for trajectory learning and control system design.
    Sudareshan MK; Condarcure TA
    IEEE Trans Neural Netw; 1998; 9(3):354-68. PubMed ID: 18252461
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.