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 *

142 related articles for article (PubMed ID: 18255666)

  • 1. 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]  

  • 2. A new constructive algorithm for architectural and functional adaptation of artificial neural networks.
    Islam MM; Sattar MA; Amin MF; Yao X; Murase K
    IEEE Trans Syst Man Cybern B Cybern; 2009 Dec; 39(6):1590-605. PubMed ID: 19502131
    [TBL] [Abstract][Full Text] [Related]  

  • 3. New training strategies for constructive neural networks with application to regression problems.
    Ma L; Khorasani K
    Neural Netw; 2004 May; 17(4):589-609. PubMed ID: 15109686
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Learning polynomial feedforward neural networks by genetic programming and backpropagation.
    Nikolaev NY; Iba H
    IEEE Trans Neural Netw; 2003; 14(2):337-50. PubMed ID: 18238017
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning.
    Wu X; Rózycki P; Wilamowski BM
    IEEE Trans Neural Netw Learn Syst; 2015 Aug; 26(8):1659-68. PubMed ID: 25216485
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bagging and boosting negatively correlated neural networks.
    Islam MM; Yao X; Shahriar Nirjon SM; Islam MA; Murase K
    IEEE Trans Syst Man Cybern B Cybern; 2008 Jun; 38(3):771-84. PubMed ID: 18558541
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CARVE--a constructive algorithm for real-valued examples.
    Young S; Downs T
    IEEE Trans Neural Netw; 1998; 9(6):1180-90. PubMed ID: 18255801
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Objective functions for training new hidden units in constructive neural networks.
    Kwok TY; Yeung DY
    IEEE Trans Neural Netw; 1997; 8(5):1131-48. PubMed ID: 18255715
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring constructive cascade networks.
    Treadgold NK; Gedeon TD
    IEEE Trans Neural Netw; 1999; 10(6):1335-50. PubMed ID: 18252635
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Neural network for graphs: a contextual constructive approach.
    Micheli A
    IEEE Trans Neural Netw; 2009 Mar; 20(3):498-511. PubMed ID: 19193509
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm.
    Tsai JT; Chou JH; Liu TK
    IEEE Trans Neural Netw; 2006 Jan; 17(1):69-80. PubMed ID: 16526477
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Constructive training methods for feedforward neural networks with binary weights.
    Mayoraz E; Aviolat F
    Int J Neural Syst; 1996 May; 7(2):149-66. PubMed ID: 8823625
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Constructive approximation to multivariate function by decay RBF neural network.
    Hou M; Han X
    IEEE Trans Neural Netw; 2010 Sep; 21(9):1517-23. PubMed ID: 20693108
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Parameter incremental learning algorithm for neural networks.
    Wan S; Banta LE
    IEEE Trans Neural Netw; 2006 Nov; 17(6):1424-38. PubMed ID: 17131658
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.