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 *

123 related articles for article (PubMed ID: 29236744)

  • 1. Multilayer perceptron architecture optimization using parallel computing techniques.
    Castro W; Oblitas J; Santa-Cruz R; Avila-George H
    PLoS One; 2017; 12(12):e0189369. PubMed ID: 29236744
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Methods of training and constructing multilayer perceptrons with arbitrary pattern sets.
    Liang X; Xia S
    Int J Neural Syst; 1995 Sep; 6(3):233-47. PubMed ID: 8589861
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Quantum perceptron over a field and neural network architecture selection in a quantum computer.
    da Silva AJ; Ludermir TB; de Oliveira WR
    Neural Netw; 2016 Apr; 76():55-64. PubMed ID: 26878722
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design.
    Bachtiar LR; Unsworth CP; Newcomb RD; Crampin EJ
    Neural Comput; 2013 Jan; 25(1):259-87. PubMed ID: 23020109
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Specification of training sets and the number of hidden neurons for multilayer perceptrons.
    Camargo LS; Yoneyama T
    Neural Comput; 2001 Dec; 13(12):2673-80. PubMed ID: 11705406
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Complexity of error hypersurfaces in multilayer perceptrons.
    Liang X
    Int J Neural Syst; 2004 Jun; 14(3):189-200. PubMed ID: 15243951
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep and shallow architecture of multilayer neural networks.
    Chang CH
    IEEE Trans Neural Netw Learn Syst; 2015 Oct; 26(10):2477-86. PubMed ID: 25608314
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neural architecture design based on extreme learning machine.
    Bueno-Crespo A; García-Laencina PJ; Sancho-Gómez JL
    Neural Netw; 2013 Dec; 48():19-24. PubMed ID: 23892908
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Geometrical interpretation and architecture selection of MLP.
    Xiang C; Ding SQ; Lee TH
    IEEE Trans Neural Netw; 2005 Jan; 16(1):84-96. PubMed ID: 15732391
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimization of neural networks using variable structure systems.
    Mohseni SA; Tan AH
    IEEE Trans Syst Man Cybern B Cybern; 2012 Dec; 42(6):1645-53. PubMed ID: 22665508
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The No-Prop algorithm: a new learning algorithm for multilayer neural networks.
    Widrow B; Greenblatt A; Kim Y; Park D
    Neural Netw; 2013 Jan; 37():182-8. PubMed ID: 23140797
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Complexity issues in natural gradient descent method for training multilayer perceptrons.
    Yang HH; Amari S
    Neural Comput; 1998 Nov; 10(8):2137-57. PubMed ID: 9804675
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of artificial neural networks in near-infrared reflectance spectroscopy calibrations for predicting the inclusion percentages of wheat and sunflower meal in compound feedingstuffs.
    Pérez-Marín D; Garrido-Varo A; Guerrero JE; Gutiérrez-Estrada JC
    Appl Spectrosc; 2006 Sep; 60(9):1062-9. PubMed ID: 17002832
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised learning in multilayer spiking neural networks.
    Sporea I; Grüning A
    Neural Comput; 2013 Feb; 25(2):473-509. PubMed ID: 23148411
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cooperative coevolution of neural representations.
    Brown AD; Card HC
    Int J Neural Syst; 2000 Aug; 10(4):311-20. PubMed ID: 11052417
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Neural networks with local receptive fields and superlinear VC dimension.
    Schmitt M
    Neural Comput; 2002 Apr; 14(4):919-56. PubMed ID: 11936967
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Distributed computing methodology for training neural networks in an image-guided diagnostic application.
    Plagianakos VP; Magoulas GD; Vrahatis MN
    Comput Methods Programs Biomed; 2006 Mar; 81(3):228-35. PubMed ID: 16476503
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes.
    Narasingarao MR; Manda R; Sridhar GR; Madhu K; Rao AA
    J Assoc Physicians India; 2009 Feb; 57():127-33. PubMed ID: 19582980
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.