Meteorological report generation method and system based on deep learning

The invention provides a meteorological report generation method and system based on deep learning. The method comprises the following steps: acquiring target meteorological acquisition data; loading the target meteorological acquisition data to an extreme climate pre-identification neural network d...

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Hauptverfasser: BAI YU, JI XIAOXIAO, GENG DANDAN, WEI XIAOLI, LIANG LENING, SHAO PENG, ZHOU XI, LIU CHEN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a meteorological report generation method and system based on deep learning. The method comprises the following steps: acquiring target meteorological acquisition data; loading the target meteorological acquisition data to an extreme climate pre-identification neural network debugged in advance for processing to obtain an extreme climate pre-identification result; and generating a weather report based on a predicted extreme climate pre-identification result, completing augmentation of an extreme climate data characterization vector in a data characterization dimension in network debugging, representing the extreme climate data characterization vector as a plurality of characterization vector grouping sets in a vector domain, a second extreme climate data representation vector is constructed by performing enhancement processing on a set centroid of a grouping set, and it is ensured that the second extreme climate data representation vector is more similar to an existing extreme climate d