WHICH METHODOLOGY IS BETTER FOR COMBINING LINEAR AND NONLINE…

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2011
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  • OpenAlex ID W2260360722
  • Type Article
  • Language EN
  • Published 01 Feb 2011
  • Volume 4 (4)
  • Pages 265–285
  • Source Journal of industrial and systems engine…
  • FWCI 1.74
  • Countries 1
  • Institutions 1
  • Added 24 Jun 2016
  • Updated 12 Oct 2026
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WHICH METHODOLOGY IS BETTER FOR COMBINING LINEAR AND NONLINEAR MODELS FOR TIME SERIES FORECASTING

Article 2011 EN

Both theoretical and empirical findings have suggested that combining different models can be an effective way to improve the predictive performance of each individual model. It is especially occurred when the models in the ensemble are quite different. Hybrid techniques that decompose a time series into its linear and nonlinear components are one of the most important kinds of the hybrid models f…

26

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76

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2

Authors

1.74

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2 authors
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1 Mehdi Khashei Isfahan University of Technolo… (IR)
2 Bijari Mehdi Isfahan University of Technolo… (IR) —

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