Study on rapid speculation of high altitude wind parameters of artillery firing based on WOA Elman

DOI:	10.11809/bqzbgcxb2023.06.015
Keywords:	whale optimization algorithm (WOA); Elman neural network; meteorological wind; error analysis; trajectory calculation
Abstract:	To shorten the time to obtain high altitude meteorological data and improve the speed and accuracy of the calculation of ballistic elements in wartime artillery firing, it is one of the key research directions to predict high altitude meteorological data by using the surface meteorological data. This paper uses whale optimization algorithm (WOA) to optimize the weights of Elman neural network method, and recurses the upper meteorological wind according to the barometric layer so as to obtain better accuracy of speculation. The accuracy of the obtained high altitude meteorological data is evaluated and analyzed by two methods, including meteorological error standard analysis and simulation analysis based on the trajectory data measured by the experiments. The analysis results show that the WOA Elman neural network method can be used to recursively forecast high altitude meteorology quickly and effectively.
Issue:	Vol. 44 No. 6 (2023)
Published:	2023-06-28
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