摘要
通过分析小波理论和灰色模型的各自特征,提出一种基于小波分析的灰色预测模型。根据小波变换特点,对变形监测数据序列进行分解,对各个分解后的子序列利用灰色模型进行预测,最后重构变形预测结果,且将该结果与灰色模型预测结果进行比较。结果表明,该方法具有较强的预测能力。
Through analyzing the characteristics of wavelet theory and grey model, the grey forecast model based on wavelet analysis is proposed. By the wavelet transform, the deformation sequence is decomposed and then each subsequence is forecasted with grey model. After reconstruction, the forecasted results are obtained. At the same time, the results are compared with that forecasted only by use of grey model. The research shows that the new forecasting method can improve forecast precision.
出处
《大地测量与地球动力学》
CSCD
北大核心
2009年第2期115-117,共3页
Journal of Geodesy and Geodynamics
基金
江苏省高校自然科学基金(08KJD420001)
江苏省测绘科研项目(JSCHKY200708)
关键词
灰色模型
小波分析
大坝安全监测
预测
数据序列
grey model
wavelet analysis
dam safety monitoring
forecast
data sequence
