高师理科学刊2024，Vol.44Issue(5)：28-34,7.DOI:10.3969/j.issn.1007-9831.2024.05.006
基于麻雀搜索算法的降水量预测
Precipitation prediction based on sparrow search algorithm
摘要
Abstract
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.关键词
降水量预测/麻雀搜索算法/经验模态分解-长短期记忆人工网络模型Key words
precipitation forecast/sparrow search algorithm/empirical mode decomposition-long short term memory artificial network model分类
数理科学引用本文复制引用
李淼,宇世航..基于麻雀搜索算法的降水量预测[J].高师理科学刊,2024,44(5):28-34,7.基金项目
黑龙江省省属高等学校基本科研业务费科研项目(145209138) （145209138）
齐齐哈尔大学研究生创新科研项目(QUZLTS_CX2023051) （QUZLTS_CX2023051）
齐齐哈尔大学教育科学研究项目(GJQTYB202105) （GJQTYB202105）
