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Article: Modelling Chlorophyll a concentration affected by artificial upwelling in Qiangdao Lake

TitleModelling Chlorophyll a concentration affected by artificial upwelling in Qiangdao Lake
Authors
Keywordsartificial upwelling
chlorophyll
genetic algorithms (GAs)
neural network (NN)
particle swarm optimization (PSO).
Issue Date2016
PublisherIEEE.
Citation
IEEE Journal of Oceanic Engineering, 2016, v. 41 n. 4, p. 960-969 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/227306
ISSN
2021 Impact Factor: 3.883
2020 SCImago Journal Rankings: 0.752
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZHOU, Y-
dc.contributor.authorHuang, H-
dc.contributor.authorDing, J-
dc.contributor.authorWang, H-
dc.contributor.authorChen, Y-
dc.contributor.authorWang, J-
dc.date.accessioned2016-07-18T09:09:42Z-
dc.date.available2016-07-18T09:09:42Z-
dc.date.issued2016-
dc.identifier.citationIEEE Journal of Oceanic Engineering, 2016, v. 41 n. 4, p. 960-969-
dc.identifier.issn0364-9059-
dc.identifier.urihttp://hdl.handle.net/10722/227306-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofIEEE Journal of Oceanic Engineering-
dc.rightsIEEE Journal of Oceanic Engineering. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectartificial upwelling-
dc.subjectchlorophyll-
dc.subjectgenetic algorithms (GAs)-
dc.subjectneural network (NN)-
dc.subjectparticle swarm optimization (PSO).-
dc.titleModelling Chlorophyll a concentration affected by artificial upwelling in Qiangdao Lake-
dc.typeArticle-
dc.identifier.emailDing, J: jldinghk@hku.hk-
dc.identifier.emailWang, H: wanghf@hku.hk-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JOE.2015.2497878-
dc.identifier.scopuseid_2-s2.0-84954560387-
dc.identifier.hkuros259072-
dc.identifier.volume41-
dc.identifier.issue4-
dc.identifier.spage960-
dc.identifier.epage969-
dc.identifier.isiWOS:000386238000022-
dc.publisher.placeUnited States-
dc.identifier.issnl0364-9059-

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