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On the use of the wavelet decomposition for time series prediction

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Publication:1851974
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DOI10.1016/S0925-2312(01)00648-8zbMath1006.68784OpenAlexW2052429958MaRDI QIDQ1851974

Skander Soltani

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(01)00648-8


zbMATH Keywords

Wavelet transformTime series predictionHaar filtersSunspot and MacKey-Glass time series


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (6)

Wavelet-denoising multiple echo state networks for multivariate time series prediction ⋮ Wavelet decomposition and autoregressive model for time series prediction ⋮ MODWT-ARMA model for time series prediction ⋮ A WAVELET SUPPORT VECTOR MACHINE COUPLED METHOD FOR TIME SERIES PREDICTION ⋮ Application of optimized \(\mathrm{GM}(1,1)\) model based on EMD in landslide deformation prediction ⋮ Long term prediction of non-linear time series using multiresolution wavelet models




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