公开(公告)号：US20210341646A1

公开(公告)日：2021-11-04

申请号：US17373113

申请日：2021-07-12

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Hao Liu ,  Jindong Han ,  Hengshu Zhu ,  Dejing Dou

IPC: G01W1/10 ,  G06N3/04 ,  G06N3/08 ,  G06F17/17

Abstract: A weather parameter prediction model training method, a weather parameter prediction method, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as deep learning and big data. The method includes: establishing a weather parameter prediction model according to spatial correlation information among a plurality of monitoring stations; and adjusting the weather parameter prediction model according to observation values of a weather parameter for the plurality of monitoring stations and prediction values of the weather parameter for the plurality of monitoring stations output by the weather parameter prediction model. The present disclosure can improve an accuracy of predicting weather parameters.

公开(公告)号：US20210342722A1

公开(公告)日：2021-11-04

申请号：US17376256

申请日：2021-07-15

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Jindong Han ,  Hao Liu

IPC: G06N5/04 ,  G06N20/00

Abstract: An air quality prediction model training method, an air quality prediction method, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, such as deep learning and big data. The training method includes: establishing an air quality prediction model according to spatial correlation information among a plurality of regions; and adjusting the air quality prediction model according to air quality observation values for the plurality of regions and air quality prediction values for the plurality of regions output by the air quality prediction model. The accuracy of air quality prediction result can be improved.