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摘要: 一般的时间序列预测方法对非线性非平稳的信号不适用.本文提出了一种基于多分 辨小波分解与重构的预测方法.与一般方法相比,这种方法有效地提高了预测的准确度.Abstract: The general forecasting approaches for time series are incapable of forecasting the time series of nonlinear non-stationary process. In this paper, an approach based on wavelet decomposition and reconstruction(WDR) is put forward. In comparison with the general forecasting approaches, the forecast accuracy of WDR is improved effectively.
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Key words:
- Time series /
- wavelet analysis /
- short-term forecasting for traffic volume
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