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Conference Paper: Radial basis function network for prediction of hydrological time series

TitleRadial basis function network for prediction of hydrological time series
Authors
KeywordsChao Phraya river
Chaos
Generalized degrees of freedom
Mekong river
Phase space
Radial basis functions
S-index
Issue Date2003
Citation
Water Resources Systems - Water Availability and Global Change (Proceedings of symposium HSO2a held during IUGG2003 at Sapporo July 2003), v. 280, p. 260-266 How to Cite?
AbstractIn this study, a network using radial basis functions as the mapping function in the evolutionary equation for prediction of time series is presented. A radial basis function network requires the determination of the number of centres of the radial basis functions, their receptive field widths, and the linear weights of the network output layer. Methods to estimate the widths of the receptive fields, and the number of centres for the radial basis functions are introduced in the study. The latter is based on the concept of the Generalized Degrees of Freedom. The linear weights are determined by the least squares method. The predictions by the proposed method when compared with the actual values of four hydrometeorological data sets, are better than those by the traditional approach of fixing the number of centres.
Persistent Identifierhttp://hdl.handle.net/10722/110227
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorJayawardena, AWen_HK
dc.contributor.authorXu, Pen_HK
dc.contributor.authorLi, WKen_HK
dc.date.accessioned2010-09-26T01:56:41Z-
dc.date.available2010-09-26T01:56:41Z-
dc.date.issued2003en_HK
dc.identifier.citationWater Resources Systems - Water Availability and Global Change (Proceedings of symposium HSO2a held during IUGG2003 at Sapporo July 2003), v. 280, p. 260-266en_HK
dc.identifier.issn0144-7815en_HK
dc.identifier.urihttp://hdl.handle.net/10722/110227-
dc.description.abstractIn this study, a network using radial basis functions as the mapping function in the evolutionary equation for prediction of time series is presented. A radial basis function network requires the determination of the number of centres of the radial basis functions, their receptive field widths, and the linear weights of the network output layer. Methods to estimate the widths of the receptive fields, and the number of centres for the radial basis functions are introduced in the study. The latter is based on the concept of the Generalized Degrees of Freedom. The linear weights are determined by the least squares method. The predictions by the proposed method when compared with the actual values of four hydrometeorological data sets, are better than those by the traditional approach of fixing the number of centres.en_HK
dc.languageengen_HK
dc.relation.ispartofIAHS-AISH Publicationen_HK
dc.subjectChao Phraya riveren_HK
dc.subjectChaosen_HK
dc.subjectGeneralized degrees of freedomen_HK
dc.subjectMekong riveren_HK
dc.subjectPhase spaceen_HK
dc.subjectRadial basis functionsen_HK
dc.subjectS-indexen_HK
dc.titleRadial basis function network for prediction of hydrological time seriesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLi, WK: hrntlwk@hku.hken_HK
dc.identifier.authorityLi, WK=rp00741en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0041840463en_HK
dc.identifier.hkuros85088en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0041840463&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume, v. 280en_HK
dc.identifier.issue280en_HK
dc.identifier.spage260en_HK
dc.identifier.epage266en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridJayawardena, AW=7005049253en_HK
dc.identifier.scopusauthoridXu, P=8440784800en_HK
dc.identifier.scopusauthoridLi, WK=14015971200en_HK

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