Precipitation prediction based on sparrow search algorithm
To improve the accurate prediction of nonlinear and temporal precipitation data,a combined prediction model based on the sparrow search algorithm was established.Empirical mode decomposition was used to mine multidimensional features of the data,and long short-term memory artificial networks were used to predict the data,the hyper parameters of the prediction model were optimized using the sparrow search algorithm,the efficiency and prediction accuracy of grid based parameter search in empirical mode decomposition-long short term memory artificial network models is improved.Empirical results show that compared with a single long short term memory artificial network model and the empirical mode decomposition-long short term memory artificial network model,the optimized combination prediction model based on the sparrow search algorithm has better performance and prediction effect,and all types of errors are reduced,which has practical significance.
precipitation forecastsparrow search algorithmempirical mode decomposition-long short term memory artificial network model