Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example

DOI10.1007/S10596-021-10037-2zbMath1460.86044OpenAlexW3135808047WikidataQ114210522 ScholiaQ114210522MaRDI QIDQ2027175

Wanting Qin, Jun Tang, Cong Lu, Songyang Lao

Publication date: 25 May 2021

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-021-10037-2

zbMATH Keywords

Kalman filteringhurricaneLSTMone-hottrajectory prediction

Mathematics Subject Classification ID

Geostatistics (86A32) Meteorology and atmospheric physics (86A10)

Related Items (1)

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Uses Software

• Dlib-ml

Cites Work

• Typhoon eye trajectory based on a mathematical model: comparing with observational data
• Learning representations by back-propagating errors

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