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 *

104 related articles for article (PubMed ID: 11112261)

  • 1. A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs.
    Bernier JL; Ortega J; Ros E; Rojas I; Prieto A
    Neural Comput; 2000 Dec; 12(12):2941-64. PubMed ID: 11112261
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new measurement of noise immunity and generalization ability for MLPs.
    Bernier JL; Ortega J; Ros E; Rojas I; Prieto A
    Int J Neural Syst; 1999 Dec; 9(6):511-21. PubMed ID: 10651334
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Synaptic weight noise during multilayer perceptron training: fault tolerance and training improvements.
    Murray AF; Edwards PJ
    IEEE Trans Neural Netw; 1993; 4(4):722-5. PubMed ID: 18267774
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm.
    Sum J; Leung CS
    IEEE Trans Neural Netw Learn Syst; 2023 May; 34(5):2619-2632. PubMed ID: 34487503
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Objective functions of online weight noise injection training algorithms for MLPs.
    Ho K; Leung CS; Sum J
    IEEE Trans Neural Netw; 2011 Feb; 22(2):317-23. PubMed ID: 21189237
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training.
    Murray AF; Edwards PJ
    IEEE Trans Neural Netw; 1994; 5(5):792-802. PubMed ID: 18267852
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning.
    Wang J; Chang Q; Chang Q; Liu Y; Pal NR
    IEEE Trans Cybern; 2019 Dec; 49(12):4346-4364. PubMed ID: 30530381
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise.
    Jun SC; Pearlmutter BA; Nolte G
    Phys Med Biol; 2002 Jul; 47(14):2547-60. PubMed ID: 12171339
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks.
    Ho KI; Leung CS; Sum J
    IEEE Trans Neural Netw; 2010 Jun; 21(6):938-47. PubMed ID: 20388593
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Can deterministic penalty terms model the effects of synaptic weight noise on network fault-tolerance?
    Edwards PJ; Murray AF
    Int J Neural Syst; 1995 Dec; 6(4):401-16. PubMed ID: 8963469
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks.
    Cavalieri S; Mirabella O
    Neural Netw; 1999 Jan; 12(1):91-106. PubMed ID: 12662719
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Distributed fault tolerance in optimal interpolative nets.
    Simon D
    IEEE Trans Neural Netw; 2001; 12(6):1348-57. PubMed ID: 18249964
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On-line node fault injection training algorithm for MLP networks: objective function and convergence analysis.
    Sum JP; Leung CS; Ho KI
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):211-22. PubMed ID: 24808501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sensitivity analysis of multilayer perceptron with differentiable activation functions.
    Choi JY; Choi CH
    IEEE Trans Neural Netw; 1992; 3(1):101-7. PubMed ID: 18276410
    [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. RBF networks under the concurrent fault situation.
    Leung CS; Sum JP
    IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1148-55. PubMed ID: 24807140
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Performance comparison between Logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus.
    Li CP; Zhi XY; Ma J; Cui Z; Zhu ZL; Zhang C; Hu LP
    Chin Med J (Engl); 2012 Mar; 125(5):851-7. PubMed ID: 22490586
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A probabilistic model for the fault tolerance of multilayer perceptrons.
    Merchawi NS; Kumara ST; Das CR
    IEEE Trans Neural Netw; 1996; 7(1):201-5. PubMed ID: 18255571
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A general procedure to generate models for urban environmental-noise pollution using feature selection and machine learning methods.
    Torija AJ; Ruiz DP
    Sci Total Environ; 2015 Feb; 505():680-93. PubMed ID: 25461071
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.