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 *

119 related articles for article (PubMed ID: 12662523)

  • 1. An Efficient EM-based Training Algorithm for Feedforward Neural Networks.
    Farmer J; Ji C; Ma S
    Neural Netw; 1997 Mar; 10(2):243-256. PubMed ID: 12662523
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fast training of recurrent networks based on the EM algorithm.
    Ma S; Ji C
    IEEE Trans Neural Netw; 1998; 9(1):11-26. PubMed ID: 18252425
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications.
    Stodolski M; Bojarczak P; Osowski S
    Neural Netw; 1996 Dec; 9(9):1583-1596. PubMed ID: 12662555
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.
    Taylor JG; Husmeier D
    Neural Netw; 1998 Jan; 11(1):89-116. PubMed ID: 12662851
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization.
    Lee CW
    Neural Netw; 1997 Jan; 10(1):61-68. PubMed ID: 12662887
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Back-propagation is not Efficient.
    Síma J
    Neural Netw; 1996 Aug; 9(6):1017-1023. PubMed ID: 12662580
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks.
    Huynh HT; Won Y; Kim JJ
    Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient Training of Recurrent Neural Network with Time Delays.
    Marom E; Saad D; Cohen B
    Neural Netw; 1997 Jan; 10(1):51-59. PubMed ID: 12662886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of a quasi-Newton method in a feedforward neural network construction algorithm.
    Setiono R; Hui LK
    IEEE Trans Neural Netw; 1995; 6(1):273-7. PubMed ID: 18263309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.
    Wang J; Deng Z; Luo X; Jiang Y; Wang S
    Neural Netw; 2016 Jun; 78():51-64. PubMed ID: 27049545
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations.
    Karayiannis NB
    IEEE Trans Neural Netw; 1996; 7(2):419-26. PubMed ID: 18255595
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the classification capability of a dynamic threshold neural network.
    Chiang CC; Fu HC
    Int J Neural Syst; 1994 Jun; 5(2):103-14. PubMed ID: 7812498
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons.
    Agarwal M; Stäger F
    Neural Netw; 1997 Nov; 10(8):1435-1443. PubMed ID: 12662484
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Design of neural networks for fast convergence and accuracy: dynamics and control.
    Maghami PG; Sparks DR
    IEEE Trans Neural Netw; 2000; 11(1):113-23. PubMed ID: 18249744
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A training algorithm for binary feedforward neural networks.
    Gray DL; Michel AN
    IEEE Trans Neural Netw; 1992; 3(2):176-94. PubMed ID: 18276419
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Noise-enhanced convolutional neural networks.
    Audhkhasi K; Osoba O; Kosko B
    Neural Netw; 2016 Jun; 78():15-23. PubMed ID: 26700535
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A training algorithm with selectable search direction for complex-valued feedforward neural networks.
    Dong Z; Huang H
    Neural Netw; 2021 May; 137():75-84. PubMed ID: 33556803
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hybrid interior point training of modular neural networks.
    Szymanski PT; Lemmon M; Bett CJ
    Neural Netw; 1998 Mar; 11(2):215-34. PubMed ID: 12662833
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Merging Back-propagation and Hebbian Learning Rules for Robust Classifications.
    Soo-Young L; Dong-Gyu J
    Neural Netw; 1996 Oct; 9(7):1213-1222. PubMed ID: 12662594
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Extended least squares based algorithm for training feedforward networks.
    Yam JF; Chow TS
    IEEE Trans Neural Netw; 1997; 8(3):806-10. PubMed ID: 18255683
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.