CNN-LSTM convolutional recurrent neural network hydrological forecast correction method based on grid rainfall information

The invention belongs to the technical field of watershed hydrological forecast error correction, and discloses a CNN-LSTM convolutional recurrent neural network hydrological forecast correction method based on grid rainfall information, and the hydrological forecast correction method is totally div...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	GU XUEZHI, YE LEI, XIN ZHUOHANG, WANG MENGYUN, OUYANG WENYU, MENG ZIWEN, LIU HAIXING, ZHANG CHI, LI XIAOYANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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