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Shuffle design to improve time series forecasting accuracy.

Juan PeraltaGermán GutiérrezAraceli Sanchis
Published in: IEEE Congress on Evolutionary Computation (2009)
Keyphrases
  • forecasting accuracy
  • hybrid model
  • bp neural network
  • forecasting model
  • neural network
  • genetic algorithm
  • feature selection
  • knowledge base
  • pattern recognition
  • support vector regression
  • demand forecasting