Research on gas concentration prediction based on the arima-lstm combination model

HIGHLIGHTS

• who: Chuan Li et al. from the School of Mines, China University of Mining and Technology, Xuzhou, China have published the article: Research on Gas Concentration Prediction Based on the ARIMA-LSTM Combination Model, in the Journal: Processes 2023, 11, x FOR PEER REVIEW of /2023/
• what: In the model the model is used to process the historical data of gas time series and obtain the corresponding linear results and residual series. The results of the study show that the metrics of the combined model are R2 = 0.9825 MAPE = 0.0124 and RMSE = 0 . . .
  

   

  

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