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 *

126 related articles for article (PubMed ID: 18255744)

  • 1. Volterra models and three-layer perceptrons.
    Marmarelis VZ; Zhao X
    IEEE Trans Neural Netw; 1997; 8(6):1421-33. PubMed ID: 18255744
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparative nonlinear modeling of renal autoregulation in rats: Volterra approach versus artificial neural networks.
    Chon KH; Holstein-Rathlou NH; Marsh DJ; Marmarelis VZ
    IEEE Trans Neural Netw; 1998; 9(3):430-5. PubMed ID: 18252466
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling of nonlinear nonstationary dynamic systems with a novel class of artificial neural networks.
    Iatrou M; Berger TW; Marmarelis VZ
    IEEE Trans Neural Netw; 1999; 10(2):327-39. PubMed ID: 18252530
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling methodology for nonlinear physiological systems.
    Marmarelis VZ
    Ann Biomed Eng; 1997; 25(2):239-51. PubMed ID: 9084829
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A novel network for nonlinear modeling of neural systems with arbitrary point-process inputs.
    Alataris K; Berger TW; Marmarelis VZ
    Neural Netw; 2000 Mar; 13(2):255-66. PubMed ID: 10935764
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Volterra Kernels Assessment via Time-Delay Neural Networks for Nonlinear Unsteady Aerodynamic Loading Identification.
    de Paula NCG; Marques FD; Silva WA
    AIAA J; 2019 Apr; 57(4):1725-1735. PubMed ID: 31534261
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonlinear dynamic modeling of spike train transformations for hippocampal-cortical prostheses.
    Song D; Chan RH; Marmarelis VZ; Hampson RE; Deadwyler SA; Berger TW
    IEEE Trans Biomed Eng; 2007 Jun; 54(6 Pt 1):1053-66. PubMed ID: 17554824
    [TBL] [Abstract][Full Text] [Related]  

  • 8. System identification of point-process neural systems using probability based Volterra kernels.
    Sandler RA; Deadwyler SA; Hampson RE; Song D; Berger TW; Marmarelis VZ
    J Neurosci Methods; 2015 Jan; 240():179-92. PubMed ID: 25479231
    [TBL] [Abstract][Full Text] [Related]  

  • 9. General methodology for nonlinear modeling of neural systems with Poisson point-process inputs.
    Marmarelis VZ; Berger TW
    Math Biosci; 2005 Jul; 196(1):1-13. PubMed ID: 15963534
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Use of meixner functions in estimation of Volterra kernels of nonlinear systems with delay.
    Asyali MH; Juusola M
    IEEE Trans Biomed Eng; 2005 Feb; 52(2):229-37. PubMed ID: 15709660
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of nonlinear biological systems using Laguerre expansions of kernels.
    Marmarelis VZ
    Ann Biomed Eng; 1993; 21(6):573-89. PubMed ID: 8116911
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multilayer perceptrons: approximation order and necessary number of hidden units.
    Trenn S
    IEEE Trans Neural Netw; 2008 May; 19(5):836-44. PubMed ID: 18467212
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian model order selection for nonlinear system function expansions.
    Mitsis GD; Jbabdi S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2165-8. PubMed ID: 19163126
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling of nonlinear physiological systems with fast and slow dynamics. I. Methodology.
    Mitsis GD; Marmarelis VZ
    Ann Biomed Eng; 2002 Feb; 30(2):272-81. PubMed ID: 11962778
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On the use of separable Volterra networks to model discrete-time Volterra systems.
    Adeney KM; Korenberg MJ
    IEEE Trans Neural Netw; 2001; 12(1):174-5. PubMed ID: 18244376
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Linear and nonlinear ARMA model parameter estimation using an artificial neural network.
    Chon KH; Cohen RJ
    IEEE Trans Biomed Eng; 1997 Mar; 44(3):168-74. PubMed ID: 9216130
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The identification of nonlinear biological systems: Volterra kernel approaches.
    Korenberg MJ; Hunter IW
    Ann Biomed Eng; 1996; 24(4):250-68. PubMed ID: 8841729
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Fast, robust identification of nonlinear physiological systems using an implicit basis expansion.
    Westwick DT; Lutchen KR
    Ann Biomed Eng; 2000 Sep; 28(9):1116-25. PubMed ID: 11132195
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The identification of nonlinear biological systems: Volterra kernel approaches.
    Korenberg MJ; Hunter IW
    Ann Biomed Eng; 1996; 24(2):250-68. PubMed ID: 8678357
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.