Meteorological data complement method based on automatic convolutional encoding and decoding algorithm

Provided is a meteorological data complement method based on automatic convolutional encoding and decoding algorithms. The method comprises the steps that meteorological data is preprocessed; the number of iterations is set; automatic convolutional encoding is conducted on a four-dimensional matrix;...

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Hauptverfasser:	WANG JING, YAO SHIMIN, ZHAO YIFAN, DU JUNCHAO, HAN JUN, LIU HUI, LIU ZEYU
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Beschreibung
Zusammenfassung:	Provided is a meteorological data complement method based on automatic convolutional encoding and decoding algorithms. The method comprises the steps that meteorological data is preprocessed; the number of iterations is set; automatic convolutional encoding is conducted on a four-dimensional matrix; automatic convolutional encoding is conducted on a feature matching matrix; automatic convolutional encoding is conducted on the feature matching matrix; automatic convolutional decoding is conducted on the feature matching matrix; automatic convolutional decoding is conducted on the feature matching matrix; automatic convolutional decoding is conducted on the feature matching matrix; a loss function is calculated; a convolution kernel and an offset weight are updated; a meteorological data attribute value is updated; meteorological data complement is completed. According to the meteorological data complement method based on the automatic convolutional encoding and decoding algorithms, the problem that the precisi