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Volumn , Issue , 2010, Pages

An evaluation of neural network ensembles and model selection for time series prediction

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; LEARNING SYSTEMS; NEURAL NETWORKS; TIME SERIES;

EID: 79959488195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596686     Document Type: Conference Paper
Times cited : (40)

References (24)
  • 3
    • 84893554099 scopus 로고    scopus 로고
    • 20/08/ Available
    • S. Crone. (2007, 20/08/2009). NN3 Results. Available: http://www.neural-forecasting-competition.com/NN3/results.htm
    • (2007) NN3 Results
    • Crone, S.1
  • 4
    • 0020824169 scopus 로고
    • Averages of Forecasts - Some Empirical Results
    • S. Makridakis and R. L. Winkler, "Averages of Forecasts - Some Empirical Results," Management Science, vol. 29, pp. 987-996, 1983.
    • (1983) Management Science , vol.29 , pp. 987-996
    • Makridakis, S.1    Winkler, R.L.2
  • 5
    • 84984426556 scopus 로고
    • The Accuracy of Extrapolation (Time-Series) Methods - Results of a Forecasting Competition
    • S. Makridakis, et al., "The Accuracy of Extrapolation (Time-Series) Methods - Results of a Forecasting Competition," Journal of Forecasting, vol. 1, pp. 111-153, 1982.
    • (1982) Journal of Forecasting , vol.1 , pp. 111-153
    • Makridakis, S.1
  • 6
    • 3042774758 scopus 로고    scopus 로고
    • Optimal forecast combinations under general loss functions and forecast error distributions
    • Sep
    • G. Elliott and A. Timmermann, "Optimal forecast combinations under general loss functions and forecast error distributions," Journal of Econometrics, vol. 122, pp. 47-79, Sep 2004.
    • (2004) Journal of Econometrics , vol.122 , pp. 47-79
    • Elliott, G.1    Timmermann, A.2
  • 7
    • 35348913712 scopus 로고    scopus 로고
    • A new boosting algorithm for improved time-series forecasting with recurrent neural networks
    • Jan
    • M. Assaad, et al., "A new boosting algorithm for improved time-series forecasting with recurrent neural networks," Information Fusion, vol. 9, pp. 41-55, Jan 2008.
    • (2008) Information Fusion , vol.9 , pp. 41-55
    • Assaad, M.1
  • 8
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • 3/1 1998
    • G. Zhang, et al., "Forecasting with artificial neural networks: The state of the art," International Journal of Forecasting, vol. 14, pp. 35-62, 1998/3/1 1998.
    • (1998) International Journal of Forecasting , vol.14 , pp. 35-62
    • Zhang, G.1
  • 9
    • 0003123930 scopus 로고    scopus 로고
    • Forecasting with artificial neural networks: The state of the art
    • Mar
    • G. Q. Zhang, et al., "Forecasting with artificial neural networks: The state of the art," International Journal of Forecasting, vol. 14, pp. 35-62, Mar 1998.
    • (1998) International Journal of Forecasting , vol.14 , pp. 35-62
    • Zhang, G.Q.1
  • 11
    • 84979340104 scopus 로고
    • To combine or not to combine - Issues of combining forecasts
    • Dec
    • F. C. Palm and A. Zellner, "To combine or not to combine - Issues of combining forecasts," Journal of Forecasting, vol. 11, pp. 687-701, Dec 1992.
    • (1992) Journal of Forecasting , vol.11 , pp. 687-701
    • Palm, F.C.1    Zellner, A.2
  • 12
    • 0000847063 scopus 로고
    • Sensitivity of weights in combining forecasts
    • May-Jun
    • R. L. Winkler and R. T. Clemen, "Sensitivity of weights in combining forecasts," Operations Research, vol. 40, pp. 609-614, May-Jun 1992.
    • (1992) Operations Research , vol.40 , pp. 609-614
    • Winkler, R.L.1    Clemen, R.T.2
  • 13
    • 38949170600 scopus 로고    scopus 로고
    • Simple robust averages of forecasts: Some empirical results
    • Jan-Mar
    • V. R. R. Jose and R. L. Winkler, "Simple robust averages of forecasts: Some empirical results," International Journal of Forecasting, vol. 24, pp. 163-169, Jan-Mar 2008.
    • (2008) International Journal of Forecasting , vol.24 , pp. 163-169
    • Jose, V.R.R.1    Winkler, R.L.2
  • 14
    • 38249002551 scopus 로고
    • The M2-Competition - A Real-Time Judgmentally Based Forecasting Study
    • Apr
    • S. Makridakis, et al., "The M2-Competition - A Real-Time Judgmentally Based Forecasting Study," International Journal of Forecasting, vol. 9, pp. 5-22, Apr 1993.
    • (1993) International Journal of Forecasting , vol.9 , pp. 5-22
    • Makridakis, S.1
  • 15
    • 0034288942 scopus 로고    scopus 로고
    • The M3-Competition: Results, conclusions and implications
    • Oct-Dec
    • S. Makridakis and M. Hibon, "The M3-Competition: results, conclusions and implications," International Journal of Forecasting, vol. 16, pp. 451-476, Oct-Dec 2000.
    • (2000) International Journal of Forecasting , vol.16 , pp. 451-476
    • Makridakis, S.1    Hibon, M.2
  • 16
    • 33750681289 scopus 로고    scopus 로고
    • Predicting chaotic time series by boosted recurrent neural networks
    • I. King, et al., Eds., ed Berlin: Springer-Verlag Berlin
    • M. Assaad, et al., "Predicting chaotic time series by boosted recurrent neural networks," in Neural Information Processing, Pt 2, Proceedings. vol. 4233, I. King, et al., Eds., ed Berlin: Springer-Verlag Berlin, 2006, pp. 831-840.
    • (2006) Neural Information Processing, Pt 2, Proceedings , vol.4233 , pp. 831-840
    • Assaad, M.1
  • 17
    • 0033556775 scopus 로고    scopus 로고
    • Boosting regression estimators
    • Feb
    • R. Avnimelech and N. Intrator, "Boosting regression estimators," Neural computation, vol. 11, pp. 499-520, Feb 1999.
    • (1999) Neural Computation , vol.11 , pp. 499-520
    • Avnimelech, R.1    Intrator, N.2
  • 19
    • 84984524541 scopus 로고
    • Bayesian Consensus Forecasts of Macroeconomic Variables
    • Oct-Dec
    • C. E. Agnew, "Bayesian Consensus Forecasts of Macroeconomic Variables," Journal of Forecasting, vol. 4, pp. 363-376, Oct-Dec 1985.
    • (1985) Journal of Forecasting , vol.4 , pp. 363-376
    • Agnew, C.E.1
  • 20
    • 4744365124 scopus 로고    scopus 로고
    • Combination forecasts of output growth in a seven-country data set
    • Sep
    • J. H. Stock and M. W. Watson, "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, vol. 23, pp. 405-430, Sep 2004.
    • (2004) Journal of Forecasting , vol.23 , pp. 405-430
    • Stock, J.H.1    Watson, M.W.2
  • 21
    • 0034288853 scopus 로고    scopus 로고
    • Out-of-sample tests of forecasting accuracy: An analysis and review
    • L. Tashman, "Out-of-sample tests of forecasting accuracy: an analysis and review," International Journal of Forecasting, vol. 16, pp. 437-450, 2000.
    • (2000) International Journal of Forecasting , vol.16 , pp. 437-450
    • Tashman, L.1
  • 22
    • 0034288854 scopus 로고    scopus 로고
    • Automatic neural network modeling for univariate time series
    • Oct-Dec
    • S. D. Balkin and J. K. Ord, "Automatic neural network modeling for univariate time series," International Journal of Forecasting, vol. 16, pp. 509-515, Oct-Dec 2000.
    • (2000) International Journal of Forecasting , vol.16 , pp. 509-515
    • Balkin, S.D.1    Ord, J.K.2
  • 23
    • 0033105287 scopus 로고    scopus 로고
    • Model selection in neural networks
    • Mar
    • U. Anders and O. Korn, "Model selection in neural networks," Neural Networks, vol. 12, pp. 309-323, Mar 1999.
    • (1999) Neural Networks , vol.12 , pp. 309-323
    • Anders, U.1    Korn, O.2
  • 24
    • 84979404783 scopus 로고
    • Backpropagation in Time-Series Forecasting
    • Jul
    • G. Lachtermacher and J. D. Fuller, "Backpropagation in Time-Series Forecasting," Journal of Forecasting, vol. 14, pp. 381-393, Jul 1995.
    • (1995) Journal of Forecasting , vol.14 , pp. 381-393
    • Lachtermacher, G.1    Fuller, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.