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 *

128 related articles for article (PubMed ID: 12662729)

  • 1. The recursive deterministic perceptron neural network.
    Tajine M; Elizondo D
    Neural Netw; 1998 Dec; 11(9):1571-1588. PubMed ID: 12662729
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysis and test of efficient methods for building recursive deterministic perceptron neural networks.
    Elizondo DA; Birkenhead R; Góngora M; Taillard E; Luyima P
    Neural Netw; 2007 Dec; 20(10):1095-108. PubMed ID: 17904333
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A constructive algorithm to solve "convex recursive deletion" (CoRD) classification problems via two-layer perceptron networks.
    Cabrelli C; Molter U; Shonkwiler R
    IEEE Trans Neural Netw; 2000; 11(3):811-6. PubMed ID: 18249809
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of linearly nonseparable patterns by linear threshold elements.
    Roychowdhury VP; Siu KY; Kailath T
    IEEE Trans Neural Netw; 1995; 6(2):318-31. PubMed ID: 18263315
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Neural classifiers using one-time updating.
    Diamantaras KI; Strintzis MG
    IEEE Trans Neural Netw; 1998; 9(3):436-47. PubMed ID: 18252467
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Global convergence and limit cycle behavior of weights of perceptron.
    Ho CY; Ling BW; Lam HK; Nasir MH
    IEEE Trans Neural Netw; 2008 Jun; 19(6):938-47. PubMed ID: 18541495
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The linear separability problem: some testing methods.
    Elizondo D
    IEEE Trans Neural Netw; 2006 Mar; 17(2):330-44. PubMed ID: 16566462
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient perceptron learning using constrained steepest descent.
    Perantonis SJ; Virvilis V
    Neural Netw; 2000 Apr; 13(3):351-64. PubMed ID: 10937968
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multilayer perceptron, fuzzy sets, and classification.
    Pal SK; Mitra S
    IEEE Trans Neural Netw; 1992; 3(5):683-97. PubMed ID: 18276468
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. On the initialization and optimization of multilayer perceptrons.
    Weymaere N; Martens JP
    IEEE Trans Neural Netw; 1994; 5(5):738-51. PubMed ID: 18267848
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Heterogeneous Multilayer Generalized Operational Perceptron.
    Tran DT; Kiranyaz S; Gabbouj M; Iosifidis A
    IEEE Trans Neural Netw Learn Syst; 2020 Mar; 31(3):710-724. PubMed ID: 31170081
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.
    Yang J; Singh H; Hines EL; Schlaghecken F; Iliescu DD; Leeson MS; Stocks NG
    Artif Intell Med; 2012 Jun; 55(2):117-26. PubMed ID: 22503644
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
    Lai Z; Deng H
    Comput Intell Neurosci; 2018; 2018():2061516. PubMed ID: 30298088
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive Ho-Kashyap rules for perceptron training.
    Hassoun MH; Song J
    IEEE Trans Neural Netw; 1992; 3(1):51-61. PubMed ID: 18276405
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A neural network classifier in experimental particle physics.
    Handzel AA; Grossman T; Domany E; Tarem S; Duchovni E
    Int J Neural Syst; 1993 Jun; 4(2):95-108. PubMed ID: 8044379
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sensitivity analysis of multilayer perceptron to input and weight perturbations.
    Zeng X; Yeung DS
    IEEE Trans Neural Netw; 2001; 12(6):1358-66. PubMed ID: 18249965
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust single-hidden layer feedforward network-based pattern classifier.
    Man Z; Lee K; Wang D; Cao Z; Khoo S
    IEEE Trans Neural Netw Learn Syst; 2012 Dec; 23(12):1974-86. PubMed ID: 24808151
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SoftDoubleMaxMinOver: perceptron-like training of support vector machines.
    Martinetz T; Labusch K; Schneegass D
    IEEE Trans Neural Netw; 2009 Jul; 20(7):1061-72. PubMed ID: 19497817
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.