A study of european wheat price series forecasting based on multiple variants of holt-winters and lstm models

HIGHLIGHTS

• What: Four different forecasting models were used in this study including the traditional Holt-Winters three-parameter exponential smoothing method and three improved models based on the Long Short-Term Memory Network (LSTM): the the GRU and the By comparing the forecasting effects of these models under the same training and test sets this study aims to select the best models using the best model for predicting European prices from 2010 to 2023 after training. And in the study of Zhang Jin and Zhang Ruibin, BP neural_network was used to predict the price trend of pork . In . . .
  

   

  

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