计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (3): 142-145.DOI: 10.3778/j.issn.1002-8331.2011.03.043

• 数据库、信号与信息处理 • 上一篇    下一篇

Online-HHT方法在时间序列数据流预测中的应用

周 勇,王尤慧,程春田   

  1. 大连理工大学 软件学院,辽宁 大连 116624
  • 收稿日期:2009-06-25 修回日期:2009-10-10 出版日期:2011-01-21 发布日期:2011-01-21
  • 通讯作者: 周 勇

Application for prediction of time series data stream based on Online-
HHT method

ZHOU Yong,WANG Youhui,CHENG Chuntian   

  1. School of Software,Dalian University of Technology,Dalian,Liaoning 116624,China
  • Received:2009-06-25 Revised:2009-10-10 Online:2011-01-21 Published:2011-01-21
  • Contact: ZHOU Yong

摘要: 在研究已有时间序列数据流预测方法的前提下,给出了一种基于滑动窗口的时间序列数据流通用预测模型,提出能有效降噪并进行多尺度滑动窗口分析,进而进行预测的新方法Online-HHT,将数据流中的滑动窗口技术与HHT方法相结合从而达到在线分析的目的。使用此模型,通过实验证实了Online-HHT方法能够有效地对时序数据流进行在线自适应趋势预测。

关键词: 数据流, 时间序列, Online-HHT方法, 滑动窗口

Abstract: After studying existed methods of time series data stream,a common prediction model is given to analyze time series data stream over sliding window,a novel method named Online-HHT is presented that is with efficient de-noise ability and multi-scale analysis ability over sliding window,then prediction is maken based on the analysis results.This method connects sliding window technique in data stream field and HHT method to realize online analysis.Using this model,it approves that Online-HHT method can effectively make online self-adaption prediction for time series data stream by experiment.

Key words: data stream, time series, Online-HHT method, sliding window

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