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Volumn 237, Issue 3, 2008, Pages 283-291

Adaptive metrics in the nearest neighbours method

Author keywords

Metrics; Nearest neighbours method; Optimization; Prediction; Time series

Indexed keywords

METRIC SYSTEM; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 38749135531     PISSN: 01672789     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physd.2007.08.019     Document Type: Article
Times cited : (18)

References (21)
  • 1
    • 0000810560 scopus 로고    scopus 로고
    • Practical implementation of nonlinear time series methods: The TISEAN package
    • Hegger R., Kantz H., and Schreiber T. Practical implementation of nonlinear time series methods: The TISEAN package. Chaos: An Interdisciplinary J. Nonlinear Sci. 9 2 (1999) 413-435
    • (1999) Chaos: An Interdisciplinary J. Nonlinear Sci. , vol.9 , Issue.2 , pp. 413-435
    • Hegger, R.1    Kantz, H.2    Schreiber, T.3
  • 2
    • 20344383594 scopus 로고
    • Forecasting a chaotic time series using an improved metric for embedding space
    • Murray D.B. Forecasting a chaotic time series using an improved metric for embedding space. Physica D Nonlinear Phenom. 68 (1993) 318-325
    • (1993) Physica D Nonlinear Phenom. , vol.68 , pp. 318-325
    • Murray, D.B.1
  • 3
    • 34249982739 scopus 로고
    • Predicting chaotic time series
    • Farmer J.D., and Sidorowich J.J. Predicting chaotic time series. Phys. Rev. Lett. 59 8 (1987) 845-848
    • (1987) Phys. Rev. Lett. , vol.59 , Issue.8 , pp. 845-848
    • Farmer, J.D.1    Sidorowich, J.J.2
  • 4
    • 0034914556 scopus 로고    scopus 로고
    • A nearest-neighbor model for regional avalanche forecasting
    • Brabec B., and Meister R. A nearest-neighbor model for regional avalanche forecasting. Ann. Glaciol. 32 (2001) 130-134
    • (2001) Ann. Glaciol. , vol.32 , pp. 130-134
    • Brabec, B.1    Meister, R.2
  • 5
    • 0034368418 scopus 로고    scopus 로고
    • Application of nonlinear forecasting techniques for meteorological modeling
    • Pérez-Muñuzuri V., and Gelpi I.R. Application of nonlinear forecasting techniques for meteorological modeling. Ann. Geophys. 18 (2000) 1349-1359
    • (2000) Ann. Geophys. , vol.18 , pp. 1349-1359
    • Pérez-Muñuzuri, V.1    Gelpi, I.R.2
  • 6
    • 0001378609 scopus 로고
    • A nearest neighbor model for forecasting market response
    • Mulhern F.J., and Caprara R.J. A nearest neighbor model for forecasting market response. Int. J. Forecast. 10 2 (1994) 191-207
    • (1994) Int. J. Forecast. , vol.10 , Issue.2 , pp. 191-207
    • Mulhern, F.J.1    Caprara, R.J.2
  • 7
    • 0000560787 scopus 로고    scopus 로고
    • Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS
    • Fernandez-Rodrguez F., Sosvilla-Rivero S., and Andrada-Felix J. Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS. Int. J. Forecast. 15 (1999) 383-392
    • (1999) Int. J. Forecast. , vol.15 , pp. 383-392
    • Fernandez-Rodrguez, F.1    Sosvilla-Rivero, S.2    Andrada-Felix, J.3
  • 10
    • 0001874436 scopus 로고    scopus 로고
    • Practical method for determining the minimum embedding dimension of a scalar time series
    • Cao L. Practical method for determining the minimum embedding dimension of a scalar time series. Physica D Nonlinear Phenom. 110 (1997) 43-50
    • (1997) Physica D Nonlinear Phenom. , vol.110 , pp. 43-50
    • Cao, L.1
  • 11
    • 2942618690 scopus 로고    scopus 로고
    • Optimal embedding parameters: a modelling paradigm
    • Small M., and Tse C.K. Optimal embedding parameters: a modelling paradigm. Physica D Nonlinear Phenom. 194 (2004) 283-296
    • (2004) Physica D Nonlinear Phenom. , vol.194 , pp. 283-296
    • Small, M.1    Tse, C.K.2
  • 12
    • 0013309515 scopus 로고    scopus 로고
    • Assessing different norms in nonlinear analysis of noisy time series
    • Kugiumtzis D. Assessing different norms in nonlinear analysis of noisy time series. Physica D Nonlinear Phenom. 105 (1997) 62-78
    • (1997) Physica D Nonlinear Phenom. , vol.105 , pp. 62-78
    • Kugiumtzis, D.1
  • 13
    • 0029184380 scopus 로고
    • An optimal metric for predicting chaotic time series
    • Tanaka N., Okamoto H., and Naito M. An optimal metric for predicting chaotic time series. Jpn. J. Appl. Phys 34 1 (1995) 388-394
    • (1995) Jpn. J. Appl. Phys , vol.34 , Issue.1 , pp. 388-394
    • Tanaka, N.1    Okamoto, H.2    Naito, M.3
  • 14
    • 0001243707 scopus 로고    scopus 로고
    • Local optimal metrics and nonlinear modeling of chaotic time series
    • García P., Jiménez J., Marcano A., and Moleiro F. Local optimal metrics and nonlinear modeling of chaotic time series. Phys. Rev. Lett. 76 9 (1996) 1449-1452
    • (1996) Phys. Rev. Lett. , vol.76 , Issue.9 , pp. 1449-1452
    • García, P.1    Jiménez, J.2    Marcano, A.3    Moleiro, F.4
  • 15
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatrick S., Gelatt C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 4598 (1983) 671-680
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 18
    • 31744433149 scopus 로고    scopus 로고
    • Modulated cycles, an approach to modelling periodic components from rapidly sampled data
    • Pedregal D.J., and Young P.C. Modulated cycles, an approach to modelling periodic components from rapidly sampled data. Int. J. Forecast. 22 1 (2006) 181-194
    • (2006) Int. J. Forecast. , vol.22 , Issue.1 , pp. 181-194
    • Pedregal, D.J.1    Young, P.C.2
  • 19
  • 20
    • 0001874436 scopus 로고    scopus 로고
    • Practical method for determining the minimum embedding dimension of a scalar time series
    • Cao L. Practical method for determining the minimum embedding dimension of a scalar time series. Physica D Nonlinear Phenom. 110 (1997) 43-50
    • (1997) Physica D Nonlinear Phenom. , vol.110 , pp. 43-50
    • Cao, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.