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Stacked heterogeneous neural networks for time series forecasting

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Publication:980586
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DOI10.1155/2010/373648zbMath1189.62154OpenAlexW2100277042WikidataQ58653041 ScholiaQ58653041MaRDI QIDQ980586

Mihai Horia Zaharia, Florin Leon

Publication date: 29 June 2010

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/233715


Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Neural nets and related approaches to inference from stochastic processes (62M45)


Related Items

Nonlinear time series: computations and applications



Cites Work

  • Correspondence of Hermitian modular forms to cycles associated to \(\mathrm{SU}(p,2)\)
  • Specific differential equations for generating pulse sequences
  • Mathematical transform of traveling-wave equations and phase aspects of quantum interaction
  • Time series: theory and methods.
  • Multilayer feedforward networks are universal approximators
  • Time series forecasting by combining RBF networks, certainty factors, and the Box-Jenkins model
  • Unnamed Item
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