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Volumn 3512, Issue , 2005, Pages 1002-1009

Input selection for long-term prediction of time series

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PROBLEM SOLVING; REGRESSION ANALYSIS; SET THEORY;

EID: 25144459911     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_123     Document Type: Conference Paper
Times cited : (9)

References (10)
  • 3
    • 0036825796 scopus 로고    scopus 로고
    • Forecasting electricity consumption using nonlinear projection and self-organizing maps
    • Lendasse, A., Lee, J., Wertz, V., Verleysen, M.: Forecasting Electricity Consumption Using Nonlinear Projection and Self-organizing Maps. Neurocomputing 48 (2002) 299-311
    • (2002) Neurocomputing , vol.48 , pp. 299-311
    • Lendasse, A.1    Lee, J.2    Wertz, V.3    Verleysen, M.4
  • 4
    • 45149138487 scopus 로고
    • Analysis of time series subject to changes in regime
    • Hamilton, J.D.: Analysis of Time Series Subject to Changes in Regime. Journal of Econometrics 45 (1990) 39-70
    • (1990) Journal of Econometrics , vol.45 , pp. 39-70
    • Hamilton, J.D.1
  • 8
    • 0003684449 scopus 로고    scopus 로고
    • The elements of statistical learning -Data mining, inference and prediction
    • Springer
    • Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning -Data Mining, Inference and Prediction. Springer Series in Statistics. Springer (2001)
    • (2001) Springer Series in Statistics
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 9
    • 0347600770 scopus 로고    scopus 로고
    • Nonlinear time-series prediction with missing and noisy data
    • Tresp, V., Hofmann, R.: Nonlinear Time-series Prediction with Missing and Noisy Data. Neural Computation 10 (1998) 731-747
    • (1998) Neural Computation , vol.10 , pp. 731-747
    • Tresp, V.1    Hofmann, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.