Fig. 4
The structure and parameters of BiLSTM-CNN-Attention model. In the bidirectional network layer, \({h}_{i}\) (i = 1,2,3, …, n) represents the feature vectors output learned by the LSTM layer.
Fig. 4 | Scientific Reports
The structure and parameters of BiLSTM-CNN-Attention model. In the bidirectional network layer, \({h}_{i}\) (i = 1,2,3, …, n) represents the feature vectors output learned by the LSTM layer.
