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Journal Abstract Search

57 related items for PubMed ID: 17025562

  • 1. Improving the global fitting method on nonlinear time series analysis.
    Barbosa LM, Duarte LG, Linhares CA, da Mota LA.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Aug; 74(2 Pt 2):026702. PubMed ID: 17025562
    [Abstract] [Full Text] [Related]

  • 2. Advances in clustering and visualization of time series using GTM through time.
    Olier I, Vellido A.
    Neural Netw; 2008 Sep; 21(7):904-13. PubMed ID: 18653311
    [Abstract] [Full Text] [Related]

  • 3. A stochastic HMM-based forecasting model for fuzzy time series.
    Li ST, Cheng YC.
    IEEE Trans Syst Man Cybern B Cybern; 2010 Oct; 40(5):1255-66. PubMed ID: 20028637
    [Abstract] [Full Text] [Related]

  • 4. Mapping urban environmental noise: a land use regression method.
    Xie D, Liu Y, Chen J.
    Environ Sci Technol; 2011 Sep 01; 45(17):7358-64. PubMed ID: 21770380
    [Abstract] [Full Text] [Related]

  • 5. Forecasting daily patient volumes in the emergency department.
    Jones SS, Thomas A, Evans RS, Welch SJ, Haug PJ, Snow GL.
    Acad Emerg Med; 2008 Feb 01; 15(2):159-70. PubMed ID: 18275446
    [Abstract] [Full Text] [Related]

  • 6. Parameter estimation through ignorance.
    Du H, Smith LA.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Jul 01; 86(1 Pt 2):016213. PubMed ID: 23005513
    [Abstract] [Full Text] [Related]

  • 7. Using the R-MAPE index as a resistant measure of forecast accuracy.
    Montaño Moreno JJ, Palmer Pol A, Sesé Abad A, Cajal Blasco B.
    Psicothema; 2013 Jul 01; 25(4):500-6. PubMed ID: 24124784
    [Abstract] [Full Text] [Related]

  • 8. Bootstrap nonlinear prediction.
    Haraki D, Suzuki T, Hashiguchi H, Ikeguchi T.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 May 01; 75(5 Pt 2):056212. PubMed ID: 17677153
    [Abstract] [Full Text] [Related]

  • 9. Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.
    Wang WC, Chau KW, Qiu L, Chen YB.
    Environ Res; 2015 May 01; 139():46-54. PubMed ID: 25684671
    [Abstract] [Full Text] [Related]

  • 10. Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis.
    Bergs J, Heerinckx P, Verelst S.
    Int Emerg Nurs; 2014 Apr 01; 22(2):112-5. PubMed ID: 24055373
    [Abstract] [Full Text] [Related]

  • 11. Fitting Lorentzian peaks with evolutionary genetic algorithm based on stochastic search procedure.
    Karakaplan M.
    Anal Chim Acta; 2007 Mar 28; 587(2):235-9. PubMed ID: 17386778
    [Abstract] [Full Text] [Related]

  • 12. Optimal charge and charge response determination through conformational space: global fitting scheme for representative charge and charge response kernel.
    Ishida T.
    J Phys Chem A; 2008 Jul 31; 112(30):7035-46. PubMed ID: 18610947
    [Abstract] [Full Text] [Related]

  • 13. Fuzzy neural network technique for system state forecasting.
    Li D, Wang W, Ismail F.
    IEEE Trans Cybern; 2013 Oct 31; 43(5):1484-94. PubMed ID: 23757566
    [Abstract] [Full Text] [Related]

  • 14. Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction.
    Miranian A, Abdollahzade M.
    IEEE Trans Neural Netw Learn Syst; 2013 Feb 31; 24(2):207-18. PubMed ID: 24808276
    [Abstract] [Full Text] [Related]

  • 15. Probabilistic evaluation of time series models: a comparison of several approaches.
    Bröcker J, Engster D, Parlitz U.
    Chaos; 2009 Dec 31; 19(4):043130. PubMed ID: 20059226
    [Abstract] [Full Text] [Related]

  • 16. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.
    Sugihara G, May RM.
    Nature; 1990 Apr 19; 344(6268):734-41. PubMed ID: 2330029
    [Abstract] [Full Text] [Related]

  • 17. Forecasting the evolution of nonlinear and nonstationary systems using recurrence-based local Gaussian process models.
    Bukkapatnam ST, Cheng C.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Nov 19; 82(5 Pt 2):056206. PubMed ID: 21230562
    [Abstract] [Full Text] [Related]

  • 18. Online learning algorithm for time series forecasting suitable for low cost wireless sensor networks nodes.
    Pardo J, Zamora-Martínez F, Botella-Rocamora P.
    Sensors (Basel); 2015 Apr 21; 15(4):9277-304. PubMed ID: 25905698
    [Abstract] [Full Text] [Related]

  • 19. Adaptive time-variant models for fuzzy-time-series forecasting.
    Wong WK, Bai E, Chu AW.
    IEEE Trans Syst Man Cybern B Cybern; 2010 Dec 21; 40(6):1531-42. PubMed ID: 20335097
    [Abstract] [Full Text] [Related]

  • 20. Does noise reduction matter for curve fitting in growth curve models?
    Hassani H, Zokaei M, von Rosen D, Amiri S, Ghodsi M.
    Comput Methods Programs Biomed; 2009 Dec 21; 96(3):173-81. PubMed ID: 19573946
    [Abstract] [Full Text] [Related]

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