dc.contributor.author |
Shoaib, Muhammad |
en |
dc.contributor.author |
Shamseldin, Asaad |
en |
dc.contributor.author |
Melville, Bruce |
en |
dc.contributor.author |
Khan |
en |
dc.contributor.editor |
Shanmuganathan, S |
en |
dc.contributor.editor |
Samarasinghe, S |
en |
dc.date.accessioned |
2016-03-07T02:42:48Z |
en |
dc.date.issued |
2016 |
en |
dc.identifier.citation |
Artificial Neural Network Modelling, Studies in Computational Intelligence, 2016, 628 pp. 127 - 143 |
en |
dc.identifier.isbn |
978-3-319-28495-8 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/28396 |
en |
dc.description.abstract |
Application of Wavelet transformation (WT) has been found effective in dealing with the issue of non-stationary data. WT is a mathematical tool that improves the performance of Artificial Neural Network (ANN) models by simultaneously considering both the spectral and the temporal information contained in the input data. WT decomposes the main time series data into its sub-components. ANN models developed using input data processed by the WT instead of using data in its raw form are known as hybrid wavelet models. The hybrid wavelet data driven models, using multi-scale input data, results in improved performance by capturing useful information concealed in the main time series data in its raw form. This chapter will cover theoretical as well as practical applications of hybrid wavelet neural network models in hydrology. |
en |
dc.publisher |
Springer International Publishing |
en |
dc.relation.ispartof |
Artificial Neural Network Modelling, Studies in Computational Intelligence |
en |
dc.relation.ispartofseries |
Studies in Computational Intelligence |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
Hybrid Wavelet Neural Network Approach |
en |
dc.type |
Book Item |
en |
dc.identifier.doi |
10.1007/978-3-319-28495-8_7 |
en |
pubs.begin-page |
127 |
en |
pubs.volume |
628 |
en |
dc.rights.holder |
Copyright:
Springer International Publishing |
en |
pubs.end-page |
143 |
en |
pubs.place-of-publication |
Switzerland |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.elements-id |
523067 |
en |
pubs.org-id |
Engineering |
en |
pubs.org-id |
Civil and Environmental Eng |
en |
pubs.record-created-at-source-date |
2016-02-18 |
en |