基于ARIMA-LSTM模型的GNSS高程时间序列预测  

Prediction of GNSS Elevation Time Series Based on ARIMA-LSTM Model

作　　者：胡增明 李晓强 黄明翔 张弯 HU Zengming;LI Xiaoqiang;HUANG Mingxiang;ZHANG Wan(Shangrao Ruida Survey and Design Co.,Ltd.,Shangrao 334000,Jiangxi,China;China Water Conservancy North Survey,Design&Research Co.,Ltd.,Hexi District 300222,Tianjin,China;Real Estate Registration Center of Guangxin District in Shangrao City,Shangrao 334000,Jiangxi,China;Jiangxi Branch of China National Geological Exploration Center of Building Materials Industry,Shangrao 334000,Jiangxi,China)

机构地区：[1]上饶市瑞达勘测设计有限公司,江西上饶334000 [2]中水北方勘测设计研究有限责任公司,天津河西300222 [3]上饶市广信区不动产登记中心,江西上饶334000 [4]中国建筑材料工业地质勘查中心江西总队,江西上饶334000

出　　处：《黄河水利职业技术学院学报》2025年第2期50-54,共5页Journal of Yellow River Conservancy Technical Institute

摘　　要：针对ARIMA和LSTM单一模型预测GNSS高程时间序列存在精度较低的问题,提出用ARIMA-LSTM混合模型预测GNSS高程时间序列。分析了ARIMA-LSTM模型的基本原理,探讨了模型的建立与数据处理方法,并通过实验对其预测结果进行验证。实验结果表明,在GNSS高程时间序列预测中,相比于ARIMA和LSTM任何一个单一模型,ARIMA-LSTM模型表现出更高的预测精度和鲁棒性。In view of the problem of low accuracy in predicting GNSS elevation time series using either the single ARIMA or LSTM model,an ARIMA-LSTM hybrid model is proposed for predicting GNSS elevation time series.The fundamental principle of the ARIMA-LSTM model is analyzed,the establishment and data processing of the model are discussed,and its prediction results are verified through experiments.The experimental results show that in the prediction of GNSS elevation time series,the ARIMA-LSTM model exhibits higher prediction accuracy and robustness compared to either the ARIMA or LSTM model individually.

关 键 词：GNSS高程时间序列 ARIMA模型 LSTM模型 ARIMA-LSTM模型 实验验证 预测精度 鲁棒性 

分 类 号：O211.61[理学—概率论与数理统计]