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 *

147 related articles for article (PubMed ID: 18255780)

  • 1. Approximation bounds for smooth functions in C(IRd) by neural and mixture networks.
    Maiorov V; Meir RS
    IEEE Trans Neural Netw; 1998; 9(5):969-78. PubMed ID: 18255780
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On the approximation by single hidden layer feedforward neural networks with fixed weights.
    Guliyev NJ; Ismailov VE
    Neural Netw; 2018 Feb; 98():296-304. PubMed ID: 29301110
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Simultaneous L(p)-approximation order for neural networks.
    Xu ZB; Cao FL
    Neural Netw; 2005 Sep; 18(7):914-23. PubMed ID: 15936925
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds.
    Murata N
    Neural Netw; 1996 Aug; 9(6):947-956. PubMed ID: 12662574
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dimension independent bounds for general shallow networks.
    Mhaskar HN
    Neural Netw; 2020 Mar; 123():142-152. PubMed ID: 31869651
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On the geometric convergence of neural approximations.
    Lavretsky E
    IEEE Trans Neural Netw; 2002; 13(2):274-82. PubMed ID: 18244430
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On the optimality of neural-network approximation using incremental algorithms.
    Meir R; Maiorov VE
    IEEE Trans Neural Netw; 2000; 11(2):323-37. PubMed ID: 18249764
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An integral upper bound for neural network approximation.
    Kainen PC; Kůrková V
    Neural Comput; 2009 Oct; 21(10):2970-89. PubMed ID: 19635020
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimal approximation of piecewise smooth functions using deep ReLU neural networks.
    Petersen P; Voigtlaender F
    Neural Netw; 2018 Dec; 108():296-330. PubMed ID: 30245431
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Approximation rates for neural networks with encodable weights in smoothness spaces.
    Gühring I; Raslan M
    Neural Netw; 2021 Feb; 134():107-130. PubMed ID: 33310376
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Representations and rates of approximation of real-valued Boolean functions by neural networks.
    Kůrková V; Savický P; Hlavácková K
    Neural Netw; 1998 Jun; 11(4):651-659. PubMed ID: 12662803
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The best approximation to C(2) functions and its error bounds using regular-center Gaussian networks.
    Liu B; Si J
    IEEE Trans Neural Netw; 1994; 5(5):845-7. PubMed ID: 18267859
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Probabilistic lower bounds for approximation by shallow perceptron networks.
    Kůrková V; Sanguineti M
    Neural Netw; 2017 Jul; 91():34-41. PubMed ID: 28482227
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neural network interpolation operators optimized by Lagrange polynomial.
    Wang G; Yu D; Zhou P
    Neural Netw; 2022 Sep; 153():179-191. PubMed ID: 35728337
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Kolmogorov's spline network.
    Igelnik B; Parikh N
    IEEE Trans Neural Netw; 2003; 14(4):725-33. PubMed ID: 18238055
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions.
    Huang GB; Babri HA
    IEEE Trans Neural Netw; 1998; 9(1):224-9. PubMed ID: 18252445
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.
    Chung Tsoi A; Scarselli F
    Neural Netw; 1998 Jan; 11(1):15-37. PubMed ID: 12662846
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ridge polynomial networks.
    Shin Y; Ghosh J
    IEEE Trans Neural Netw; 1995; 6(3):610-22. PubMed ID: 18263347
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.