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PUBMED FOR HANDHELDS

Journal Abstract Search


460 related items for PubMed ID: 19068436

  • 1. A new RBF neural network with boundary value constraints.
    Hong X, Chen S.
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):298-303. PubMed ID: 19068436
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Nondestructive quantitative analysis of erythromycin ethylsuccinate powder drug via short-wave near-infrared spectroscopy combined with radial basis function neural networks.
    Qu N, Li X, Dou Y, Mi H, Guo Y, Ren Y.
    Eur J Pharm Sci; 2007 Jul; 31(3-4):156-64. PubMed ID: 17449230
    [Abstract] [Full Text] [Related]

  • 4. Sensitivity analysis applied to the construction of radial basis function networks.
    Shi D, Yeung DS, Gao J.
    Neural Netw; 2005 Sep; 18(7):951-7. PubMed ID: 15939573
    [Abstract] [Full Text] [Related]

  • 5. A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints.
    Xia Y, Kamel MS.
    Neural Comput; 2008 Mar; 20(3):844-72. PubMed ID: 18370841
    [Abstract] [Full Text] [Related]

  • 6. An on-line algorithm for creating self-organizing fuzzy neural networks.
    Leng G, Prasad G, McGinnity TM.
    Neural Netw; 2004 Dec; 17(10):1477-93. PubMed ID: 15541949
    [Abstract] [Full Text] [Related]

  • 7. Intelligent initialization of resource allocating RBF networks.
    Wallace M, Tsapatsoulis N, Kollias S.
    Neural Netw; 2005 Mar; 18(2):117-22. PubMed ID: 15795110
    [Abstract] [Full Text] [Related]

  • 8. A new algorithm for online structure and parameter adaptation of RBF networks.
    Alexandridis A, Sarimveis H, Bafas G.
    Neural Netw; 2003 Sep; 16(7):1003-17. PubMed ID: 14692635
    [Abstract] [Full Text] [Related]

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  • 11. 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]

  • 12. Metacognitive learning in a fully complex-valued radial basis function neural network.
    Savitha R, Suresh S, Sundararajan N.
    Neural Comput; 2012 May; 24(5):1297-328. PubMed ID: 22168554
    [Abstract] [Full Text] [Related]

  • 13. Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: a case study on renal function evaluation.
    Song Q, Kasabov N, Ma T, Marshall MR.
    Artif Intell Med; 2006 Mar; 36(3):235-44. PubMed ID: 16213694
    [Abstract] [Full Text] [Related]

  • 14. Robust growing neural gas algorithm with application in cluster analysis.
    Qin AK, Suganthan PN.
    Neural Netw; 2004 Mar; 17(8-9):1135-48. PubMed ID: 15555857
    [Abstract] [Full Text] [Related]

  • 15. Significant vector learning to construct sparse kernel regression models.
    Gao J, Shi D, Liu X.
    Neural Netw; 2007 Sep; 20(7):791-8. PubMed ID: 17604953
    [Abstract] [Full Text] [Related]

  • 16. On the structure and initial parameter identification of Gaussian RBF networks.
    Bhatt RB, Gopal M.
    Int J Neural Syst; 2004 Dec; 14(6):373-80. PubMed ID: 15714604
    [Abstract] [Full Text] [Related]

  • 17. Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming.
    Chen S, Wolfgang A, Harris CJ, Hanzo L.
    Neural Netw; 2008 Dec; 21(2-3):358-67. PubMed ID: 18207699
    [Abstract] [Full Text] [Related]

  • 18. A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.
    Izadinia H, Sadeghi F, Ebadzadeh MM.
    Neural Netw; 2009 Dec; 22(5-6):633-41. PubMed ID: 19608381
    [Abstract] [Full Text] [Related]

  • 19. [GSH fermentation process modeling using entropy-criterion based RBF neural network model].
    Tan Z, Wang S, Deng Z, Du G.
    Sheng Wu Gong Cheng Xue Bao; 2008 May; 24(5):829-36. PubMed ID: 18724704
    [Abstract] [Full Text] [Related]

  • 20. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation.
    Huang GB, Saratchandran P, Sundararajan N.
    IEEE Trans Neural Netw; 2005 Jan; 16(1):57-67. PubMed ID: 15732389
    [Abstract] [Full Text] [Related]


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