GMA: An Improved Framework of Radar Extrapolation Based on Spatiotemporal Sequence Neural Network

Most previous current spatiotemporal sequence neural networks used for radar extrapolation have difficulties in learning long‐term spatiotemporal memories. This is because the spatiotemporal sequential neural networks only use the information from the previous time step node to update the prediction...

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Veröffentlicht in:	Earth and Space Science 2022-10, Vol.9 (10), p.n/a
Hauptverfasser:	Huang, Long, Wang, Shengchun, Jiang, Kefei, Huang, Jingui
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms attention Computational linguistics Correlation analysis Deep learning Information management Language processing Methods Natural language interfaces Neural networks Precipitation Radar radar extrapolation Radar systems spatiotemporal sequence neural network
Online-Zugang:	Volltext
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