A pca-eemd-cnn-attention-gru-encoder-decoder accurate prediction model for key parameters of seawater quality in zhanjiang bay

HIGHLIGHTS

• who: Zaimi Xie and colleagues from the School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, China have published the paper: A PCA-EEMD-CNN-Attention-GRU-Encoder-Decoder Accurate Prediction Model for Key Parameters of Seawater Quality in Zhanjiang Bay, in the Journal: Materials 2022, 15, 5200 CNN-Attention-GED of 23/06/2022
• what: The model first screened the key factors of water quality data with the principal component analysis (PCA) algorithm then realized the de-noising of the key factors of water quality data with an ensemble empirical mode decomposition (EEMD . . .
  

   

  

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