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IEEE/ICACT20210141 Slide.17        [Big Slide]	Oral Presentation
	The long-term prediction uses the SST data of the past 21 days to predict the SST in the next 7 days. As can be seen from the figures, with the increase of prediction step size, the prediction error of several models gradually increases. The 3DCNN-LSTM-AT model maintains the minimum prediction error on both datasets, and the fluctuation between step sizes is small. Therefore, time features and attention mechanism are conducive to improving the accuracy of the model.

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