Blood glucose concentration prediction based on double decomposition and deep extreme learning machine optimized by nonlinear marine predator algorithm

HIGHLIGHTS

• What: The model proposed in this paper can achieve a high accuracy of 45 min in advance and the root mean square error values are 5.2095 4.241 and 6.3246 respectively. In this article, a new combined model for predicting blood glucose concentration is proposed, which combines the double decomposition strategy, NMPA algorithm and DELM network. To verify the effectiveness of the VMD-TVF-EMD-NMPA-DELM prediction model proposed in this paper, ablation studies were conducted on each module of the 15 of 24 observed values is small, and the prediction performance of this . . .
  

   

  

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