Aviation data classification method based on whale optimization and time sequence hypergraph neural network

The invention discloses an aeronautical data classification method based on whale optimization and a time sequence hypergraph neural network, and relates to the technical field of aeronautical field data classification, and the method comprises the following steps: firstly, carrying out the standardization processing of aeronautical field heterogeneous data, decomposing the data into time and space dimension data, and carrying out the classification of the time dimension data and the space dimension data; space and time incidence relations between the heterogeneous data in the aviation field are constructed by searching adjacent data in the Euclidean space; and then, a whale optimization algorithm with global optimization capability is utilized to optimize parameters of the time sequence hypergraph neural network so as to establish a stable association relationship between the interiors of the heterogeneous data in the aviation field and realize accurate classification of the data in the aviation field. 本发明公开