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dc.contributor.authorMounce, S. R.
dc.contributor.authorMounce, R. B.
dc.contributor.authorJackson, T.
dc.contributor.authorAustin, J.
dc.contributor.authorBoxall, J. B.
dc.date.accessioned2015-04-01T11:09:00Z
dc.date.available2015-04-01T11:09:00Z
dc.date.issued2014-01-01
dc.identifier48991056
dc.identifier975de598-42e2-4134-804d-29952cf20ab1
dc.identifier84901028729
dc.identifier.citationMounce , S R , Mounce , R B , Jackson , T , Austin , J & Boxall , J B 2014 , ' Pattern matching and associative artificial neural networks for water distribution system time series data analysis ' , Journal of Hydroinformatics , vol. 16 , no. 3 , pp. 617-632 . https://doi.org/10.2166/hydro.2013.057en
dc.identifier.issn1464-7141
dc.identifier.urihttp://hdl.handle.net/2164/4378
dc.format.extent16
dc.format.extent592173
dc.language.isoeng
dc.relation.ispartofJournal of Hydroinformaticsen
dc.subjectAsset monitoringen
dc.subjectAuto-associative neural networken
dc.subjectEvent detection systemen
dc.subjectPattern matchingen
dc.subjectWater distribution systemsen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectAtmospheric Scienceen
dc.subjectGeotechnical Engineering and Engineering Geologyen
dc.subject.lccTAen
dc.titlePattern matching and associative artificial neural networks for water distribution system time series data analysisen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.description.statusPeer revieweden
dc.identifier.doi10.2166/hydro.2013.057
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84901028729&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.iwaponline.com/jh/016/0617/0160617.pdfen


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