Research on ocean buoy attitude prediction model based on multi-dimensional feature fusion

HIGHLIGHTS

• What: The aim of CNN is to extract salient features from input data. This study has constructed a systematic and comprehensive methodological frame-work, which covers four core links. The predictive capability of the model was systematically tested through reasonable partitioning of training and testing sets, implementation of cross-validation strategies, and arrangement of comparative experiments. The training and testing sets remained consistent with those used for the CNN-BiGRU model, and the evaluation metrics for the prediction results of each model were compared to assess their accuracy.
• Who: . and colleagues from the Memorial University . . .
  

   

  

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