23-05-2023 дата публикации
Номер: CN116151487A
Принадлежит:
The invention belongs to the field of trajectory prediction, and particularly relates to a physical knowledge and data hybrid-driven prediction algorithm for predicting a sea surface oil spill trajectory, which comprises the following steps of: 1, carding and theoretically analyzing a cellular automaton theory; 2, confirming influence factors, establishing a basis for rule setting, and supplementing and correcting a result; 3, fusing the influence factors, constructing an improved prediction model, and calculating a prediction result; 4, analyzing the used input parameters, determining a prediction model, and calculating a prediction value of the prediction model; 5, summarizing and analyzing calculation results, and constructing a prediction model under hybrid drive; step 6, carrying out dimension consistency and grid unification on the data, and carrying out hybrid driving on physical knowledge and the data; and step 7, obtaining an oil spill trajectory prediction result through calculation ...
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