PM2.5 full coverage prediction method based on deep neural network

The invention discloses a PM2.5 full coverage prediction method based on a deep neural network, and the method comprises the steps: carrying out the preprocessing of air pollution concentration, meteorological data and land utilization data, which are obtained in advance, and dividing the data into...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	CHEN KANGXU, GAO SHANGBING, LI XIANG, YU YANGXIN, WANG YUANYUAN, REN KE
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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