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 *

187 related articles for article (PubMed ID: 18238011)

  • 21. Learning efficiency of redundant neural networks in Bayesian estimation.
    Watanabe S
    IEEE Trans Neural Netw; 2001; 12(6):1475-86. PubMed ID: 18249976
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function.
    Guliyev NJ; Ismailov VE
    Neural Comput; 2016 Jul; 28(7):1289-304. PubMed ID: 27171269
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Error minimized extreme learning machine with growth of hidden nodes and incremental learning.
    Feng G; Huang GB; Lin Q; Gay R
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Constructive algorithms for structure learning in feedforward neural networks for regression problems.
    Kwok TY; Yeung DY
    IEEE Trans Neural Netw; 1997; 8(3):630-45. PubMed ID: 18255666
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An efficient learning algorithm for associative memories.
    Wu Y; Batalama SN
    IEEE Trans Neural Netw; 2000; 11(5):1058-66. PubMed ID: 18249834
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A new Jacobian matrix for optimal learning of single-layer neural networks.
    Peng JX; Li K; Irwin GW
    IEEE Trans Neural Netw; 2008 Jan; 19(1):119-29. PubMed ID: 18269943
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Statistical estimation of the number of hidden units for feedforward neural networks.
    Fujita O
    Neural Netw; 1998 Jul; 11(5):851-859. PubMed ID: 12662787
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multilayer neural networks and Bayes decision theory.
    Funahashi K
    Neural Netw; 1998 Mar; 11(2):209-213. PubMed ID: 12662832
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Automated learning for reducing the configuration of a feedforward neural network.
    Teng CC; Wah BW
    IEEE Trans Neural Netw; 1996; 7(5):1072-85. PubMed ID: 18263505
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Is extreme learning machine feasible? A theoretical assessment (part I).
    Liu X; Lin S; Fang J; Xu Z
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):7-20. PubMed ID: 25069126
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Feedforward neural network construction using cross validation.
    Setiono R
    Neural Comput; 2001 Dec; 13(12):2865-77. PubMed ID: 11705414
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Curvature-driven smoothing: a learning algorithm for feedforward networks.
    Bishop CM
    IEEE Trans Neural Netw; 1993; 4(5):882-4. PubMed ID: 18276518
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Existence and uniqueness results for neural network approximations.
    Williamson RC; Helmke U
    IEEE Trans Neural Netw; 1995; 6(1):2-13. PubMed ID: 18263280
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Classification ability of single hidden layer feedforward neural networks.
    Huang GB; Chen YQ; Babri HA
    IEEE Trans Neural Netw; 2000; 11(3):799-801. PubMed ID: 18249806
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Generalization and capacity of extensively large two-layered perceptrons.
    Rosen-Zvi M; Engel A; Kanter I
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Sep; 66(3 Pt 2A):036138. PubMed ID: 12366215
    [TBL] [Abstract][Full Text] [Related]  

  • 36. On sequential construction of binary neural networks.
    Muselli M
    IEEE Trans Neural Netw; 1995; 6(3):678-90. PubMed ID: 18263353
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Learning in the multiple class random neural network.
    Gelenbe E; Hussain KF
    IEEE Trans Neural Netw; 2002; 13(6):1257-67. PubMed ID: 18244525
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier.
    Subbulakshmi CV; Deepa SN
    ScientificWorldJournal; 2015; 2015():418060. PubMed ID: 26491713
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Dynamic extreme learning machine and its approximation capability.
    Zhang R; Lan Y; Huang GB; Xu ZB; Soh YC
    IEEE Trans Cybern; 2013 Dec; 43(6):2054-65. PubMed ID: 23757515
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A simple method to derive bounds on the size and to train multilayer neural networks.
    Sartori MA; Antsaklis PJ
    IEEE Trans Neural Netw; 1991; 2(4):467-71. PubMed ID: 18276399
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.