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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/93116
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dc.contributor.authorWu, W.-
dc.contributor.authorDandy, G.-
dc.contributor.authorMaier, H.-
dc.date.issued2015-
dc.identifier.citationJournal of Water Resources Planning and Management, 2015; 141(7):04014085-1-04014085-12-
dc.identifier.issn0733-9496-
dc.identifier.issn1943-5452-
dc.identifier.urihttp://hdl.handle.net/2440/93116-
dc.description.abstractAbstract not available.-
dc.description.statementofresponsibilityW. Wu, G. C. Dandy, and H. R. Maier-
dc.language.isoen-
dc.publisherAmerican Society of Civil Engineers (ASCE)-
dc.rights© 2014 American Society of Civil Engineers-
dc.source.urihttp://dx.doi.org/10.1061/(asce)wr.1943-5452.0000486-
dc.subjectOptimal control; chloramine; total chloriine; free ammonia; water transmission system; water quality; artificial neural networks; genetic algorithms-
dc.titleOptimal control of total chlorine and free ammonia levels in a water transmission pipeline using artificial neural networks and genetic algorithms-
dc.typeJournal article-
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0000486-
pubs.publication-statusPublished-
dc.identifier.orcidWu, W. [0000-0003-3907-1570]-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 7
Civil and Environmental Engineering publications

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