The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 16, 2024

Filed:

Apr. 04, 2023
Applicant:

Nanjing University of Information Science & Technology, Nanjing, CN;

Inventors:

Buda Su, Beijing, CN;

Guojie Wang, Nanjing, CN;

Zicong Luo, Nanjing, CN;

Tong Jiang, Nanjing, CN;

Yanjun Wang, Nanjing, CN;

Guofu Wang, Beijing, CN;

Aiqing Feng, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01W 1/10 (2006.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G01W 1/10 (2013.01); G06N 3/044 (2023.01);
Abstract

A high-temperature disaster forecast method based on a directed graph neural network is provided, and the method includes the following steps: S, performing standardization processing on meteorological elements respectively to scale the meteorological elements into a same value range; S, taking the meteorological elements as nodes in the graph, and describing relationships among the nodes by an adjacency matrix of graph; then learning node information by a stepwise learning strategy and continuously updating a state of the adjacency matrix; S, training the directed graph neural network model after determining a loss function, obtaining a model satisfying requirements by adjusting a learning rate, an optimizer and regularization parameters as a forecast model, and saving the forecast model; and S, inputting historical multivariable time series into the forecast model, changing an output stride according to demands, and thereby obtaining high-temperature disaster forecast for a future period of time.


Find Patent Forward Citations

Loading…