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Journal Abstract Search

529 related items for PubMed ID: 23757515

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Universal approximation of extreme learning machine with adaptive growth of hidden nodes.
    Zhang R, Lan Y, Huang GB, Xu ZB.
    IEEE Trans Neural Netw Learn Syst; 2012 Feb; 23(2):365-71. PubMed ID: 24808516
    [Abstract] [Full Text] [Related]

  • 3. 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
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. Sparse Bayesian extreme learning machine for multi-classification.
    Luo J, Vong CM, Wong PK.
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):836-43. PubMed ID: 24807961
    [Abstract] [Full Text] [Related]

  • 6. A novel multiple instance learning method based on extreme learning machine.
    Wang J, Cai L, Peng J, Jia Y.
    Comput Intell Neurosci; 2015 Apr; 2015():405890. PubMed ID: 25705220
    [Abstract] [Full Text] [Related]

  • 7. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
    Yang Y, Wang Y, Yuan X.
    IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
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  • 14. Is extreme learning machine feasible? A theoretical assessment (part II).
    Lin S, Liu X, Fang J, Xu Z.
    IEEE Trans Neural Netw Learn Syst; 2015 Jan; 26(1):21-34. PubMed ID: 25069128
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  • 15. Neural architecture design based on extreme learning machine.
    Bueno-Crespo A, García-Laencina PJ, Sancho-Gómez JL.
    Neural Netw; 2013 Dec; 48():19-24. PubMed ID: 23892908
    [Abstract] [Full Text] [Related]

  • 16. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine].
    Liu ZB, Jiang SJ, Yang HH, Zhang XB.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231
    [Abstract] [Full Text] [Related]

  • 17. A comparative analysis of support vector machines and extreme learning machines.
    Liu X, Gao C, Li P.
    Neural Netw; 2012 Sep; 33():58-66. PubMed ID: 22572469
    [Abstract] [Full Text] [Related]

  • 18. Extreme learning machine for regression and multiclass classification.
    Huang GB, Zhou H, Ding X, Zhang R.
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
    [Abstract] [Full Text] [Related]

  • 19. Iterative least squares functional networks classifier.
    El-Sebakhy EA, Hadi AS, Faisal KA.
    IEEE Trans Neural Netw; 2007 May; 18(3):844-50. PubMed ID: 17526349
    [Abstract] [Full Text] [Related]

  • 20. Hidden space support vector machines.
    Zhang L, Zhou W, Jiao L.
    IEEE Trans Neural Netw; 2004 Nov; 15(6):1424-34. PubMed ID: 15565770
    [Abstract] [Full Text] [Related]

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