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579 related items for PubMed ID: 14622880

  • 1. Polynomial harmonic GMDH learning networks for time series modeling.
    Nikolaev NY, Iba H.
    Neural Netw; 2003 Dec; 16(10):1527-40. PubMed ID: 14622880
    [Abstract] [Full Text] [Related]

  • 2. Genetic programming of polynomial harmonic networks using the discrete Fourier transform.
    Nikolaev NY, Iba H.
    Int J Neural Syst; 2002 Oct; 12(5):399-410. PubMed ID: 12424810
    [Abstract] [Full Text] [Related]

  • 3. Elman backpropagation as reinforcement for simple recurrent networks.
    Grüning A.
    Neural Comput; 2007 Nov; 19(11):3108-31. PubMed ID: 17883351
    [Abstract] [Full Text] [Related]

  • 4. Convergence analysis of online gradient method for BP neural networks.
    Wu W, Wang J, Cheng M, Li Z.
    Neural Netw; 2011 Jan; 24(1):91-8. PubMed ID: 20870390
    [Abstract] [Full Text] [Related]

  • 5. Evolutionary product unit based neural networks for regression.
    Martínez-Estudillo A, Martínez-Estudillo F, Hervás-Martínez C, García-Pedrajas N.
    Neural Netw; 2006 May; 19(4):477-86. PubMed ID: 16481148
    [Abstract] [Full Text] [Related]

  • 6. Improving generalization performance of natural gradient learning using optimized regularization by NIC.
    Park H, Murata N, Amari S.
    Neural Comput; 2004 Feb; 16(2):355-82. PubMed ID: 15006100
    [Abstract] [Full Text] [Related]

  • 7. Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory.
    Verzi SJ, Heileman GL, Georgiopoulos M.
    Neural Netw; 2006 May; 19(4):446-68. PubMed ID: 16343845
    [Abstract] [Full Text] [Related]

  • 8. A learning rule for very simple universal approximators consisting of a single layer of perceptrons.
    Auer P, Burgsteiner H, Maass W.
    Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524
    [Abstract] [Full Text] [Related]

  • 9. A new backpropagation learning algorithm for layered neural networks with nondifferentiable units.
    Oohori T, Naganuma H, Watanabe K.
    Neural Comput; 2007 May; 19(5):1422-35. PubMed ID: 17381272
    [Abstract] [Full Text] [Related]

  • 10. Generalized multiscale radial basis function networks.
    Billings SA, Wei HL, Balikhin MA.
    Neural Netw; 2007 Dec; 20(10):1081-94. PubMed ID: 17993257
    [Abstract] [Full Text] [Related]

  • 11. 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
    [Abstract] [Full Text] [Related]

  • 12. TAO-robust backpropagation learning algorithm.
    Pernía-Espinoza AV, Ordieres-Meré JB, Martínez-de-Pisón FJ, González-Marcos A.
    Neural Netw; 2005 Mar; 18(2):191-204. PubMed ID: 15795116
    [Abstract] [Full Text] [Related]

  • 13. The general inefficiency of batch training for gradient descent learning.
    Wilson DR, Martinez TR.
    Neural Netw; 2003 Dec; 16(10):1429-51. PubMed ID: 14622875
    [Abstract] [Full Text] [Related]

  • 14. Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms.
    Ferentinos KP.
    Neural Netw; 2005 Sep; 18(7):934-50. PubMed ID: 15963690
    [Abstract] [Full Text] [Related]

  • 15. Orthogonal least squares based complex-valued functional link network.
    Amin MF, Savitha R, Amin MI, Murase K.
    Neural Netw; 2012 Aug; 32():257-66. PubMed ID: 22386786
    [Abstract] [Full Text] [Related]

  • 16. A model for learning to segment temporal sequences, utilizing a mixture of RNN experts together with adaptive variance.
    Namikawa J, Tani J.
    Neural Netw; 2008 Dec; 21(10):1466-75. PubMed ID: 18938059
    [Abstract] [Full Text] [Related]

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  • 18. An enhanced self-organizing incremental neural network for online unsupervised learning.
    Furao S, Ogura T, Hasegawa O.
    Neural Netw; 2007 Oct; 20(8):893-903. PubMed ID: 17826947
    [Abstract] [Full Text] [Related]

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

  • 20. Back-propagation learning of infinite-dimensional dynamical systems.
    Tokuda I, Tokunaga R, Aihara K.
    Neural Netw; 2003 Oct; 16(8):1179-93. PubMed ID: 13678621
    [Abstract] [Full Text] [Related]

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