BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 8589861)

  • 1. 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]  

  • 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. 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]  

  • 4. 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]  

  • 5. Feature selection in MLPs and SVMs based on maximum output information.
    Sindhwani V; Rakshit S; Deodhare D; Erdogmus D; Principe JC; Niyogi P
    IEEE Trans Neural Netw; 2004 Jul; 15(4):937-48. PubMed ID: 15461085
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On the equivalence of two-layered perceptrons with binary neurons.
    Blatt M; Domany E; Kanter I
    Int J Neural Syst; 1995 Sep; 6(3):225-31. PubMed ID: 8589860
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Local minima and plateaus in hierarchical structures of multilayer perceptrons.
    Fukumizu K; Amari S
    Neural Netw; 2000 Apr; 13(3):317-27. PubMed ID: 10937965
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Multilayer Potts perceptrons with Levenberg-Marquardt learning.
    Wu JM
    IEEE Trans Neural Netw; 2008 Dec; 19(12):2032-43. PubMed ID: 19054728
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Avoiding overfitting in multilayer perceptrons with feeling-of-knowing using self-organizing maps.
    Murakoshi K
    Biosystems; 2005 Apr; 80(1):37-40. PubMed ID: 15740833
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A cascading structure and training method for multilayer neural networks.
    Li Y; Rad AB
    Int J Neural Syst; 1997; 8(5-6):509-15. PubMed ID: 10065833
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. DMP3: a dynamic multilayer perceptron construction algorithm.
    Andersen TL; Martinez TR
    Int J Neural Syst; 2001 Apr; 11(2):145-65. PubMed ID: 14632168
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spiking perceptrons.
    Rowcliffe P; Feng J; Buxton H
    IEEE Trans Neural Netw; 2006 May; 17(3):803-7. PubMed ID: 16722183
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Direct parallel perceptrons (DPPs): fast analytical calculation of the parallel perceptrons weights with margin control for classification tasks.
    Fernandez-Delgado M; Ribeiro J; Cernadas E; Ameneiro SB
    IEEE Trans Neural Netw; 2011 Nov; 22(11):1837-48. PubMed ID: 21984498
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of spinal deformity classification with total curvature analysis and artificial neural network.
    Lin H
    IEEE Trans Biomed Eng; 2008 Jan; 55(1):376-82. PubMed ID: 18232388
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feedforward neural network with adaptive reference pattern layer.
    Lehtokangas M
    Int J Neural Syst; 1999 Feb; 9(1):1-9. PubMed ID: 10401926
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Training neural networks by means of genetic algorithms working on very long chromosomes.
    Korning PG
    Int J Neural Syst; 1995 Sep; 6(3):299-316. PubMed ID: 8589866
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.