Multi-channel marine observation time sequence scalar data missing value prediction method and system

The invention belongs to the field of computer systems based on specific calculation models, and provides a multi-channel marine observation time sequence scalar data missing value prediction method and system, and the method comprises the steps: obtaining marine observation time sequence scalar dat...

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Hauptverfasser: WU LU, CHANG WENQING, ZHAO ZHIGANG, WANG CHUNXIAO, DONG HUOMIN, WANG JINWEI, LI XIANG, WANG YINGLONG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention belongs to the field of computer systems based on specific calculation models, and provides a multi-channel marine observation time sequence scalar data missing value prediction method and system, and the method comprises the steps: obtaining marine observation time sequence scalar data with a marine missing value; based on the marine observation time sequence scalar data, a TA-RNN model is adopted to obtain a marine missing value prediction result; the TA-RNN model comprises a convolution attention module, a space attention module and a time attention module, and the convolution attention module is used for refining the marine observation time sequence scalar data; the space attention module is used for capturing the dynamic space correlation of the refined marine observation time sequence scalar data; and the time attention module is used for capturing dynamic time correlation among different time intervals in the output data of the space attention module. 本发明属于基于特定计算模型的计算机系统领域,提供了一种多通道海洋观测时序标