Informer-Based Model for Long-Term Ship Trajectory Prediction

Ship trajectory prediction is a complex time series forecasting problem that necessitates models capable of accurately capturing both long-term trends and short-term fluctuations in vessel movements. While existing deep learning models excel in short-term predictions, they struggle with long-sequenc...

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Principais autores:	Caiquan Xiong, Hao Shi, Jiaming Li, Xinyun Wu, Rong Gao
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-07-01
סדרה:	Journal of Marine Science and Engineering
נושאים:	Informer trajectory prediction long-sequence forecasting trajectory planning
גישה מקוונת:	https://www.mdpi.com/2077-1312/12/8/1269
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!