HIGHLIGHTS
- who: Dapeng Jiang and colleagues from the Dalian Maritime University, Dalian, China have published the research work: TRFM-LS: Transformer-Based Deep Learning Method for Vessel Trajectory Prediction, in the Journal: (JOURNAL)
- what: Inspired by the Transformer algorithm model in deep learning, the authors implement a method for predicting temporal sequence data, TRFM-LS, by architecting the LSTM module in the decoder output layer. It is not difficult to find that, in time series prediction, many prediction studies incorporate an attention mechanism into the algorithm , which makes the model pay more attention to the features . . .
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