Wei, H.L. and Billings, S.A. (2005) Long Term Prediction of Nonlinear Time Series Using Multiresolution Wavelet Models. UNSPECIFIED. ACSE Research Report 882 . Department of Automatic Control and Systems Engineering
Abstract
The long term prediction of nonlinear dynamical time series, based on identified multiresolution wavelet models, from historically observed data sets is investigated and a new direct prediction approach is introduced. Prediction results based on the new direct scheme are compared with those from conventional iterative methods and it is shown that improved predictions can be obtained using the new approach.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Keywords: | Long term prediction; Multiresolution wavelet decomposition; Multi-step-ahead prediction; Time series |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 07 Apr 2015 11:45 |
Last Modified: | 25 Oct 2016 15:01 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 882 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84820 |