摘 要:
通過分析小波理論和灰色模型的各自特征,提出一種基于小波分析的灰色預測模型。根據小波變換特點,對變形監測數據序列進行分解,對各個分解后的子序列利用灰色模型進行預測,最后重構變形預測結果,且將該結果與灰色模型預測結果進行比較。結果表明,該方法具有較強的預測能力。
Abstract:
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.
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