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dc.contributor.authorBabovic, Vladan
dc.contributor.authorZhang, Hong
dc.date.accessioned2017-05-03T14:30:32Z
dc.date.available2017-05-03T14:30:32Z
dc.date.issued2002
dc.date.modified2009-09-25T04:43:59Z
dc.identifier.urihttp://hdl.handle.net/10072/22845
dc.description.abstractThe process of scientific discovery has long been viewed as the pinnacle of creative thought. Thus, to many people, including some scientists themselves is seems unlikely candidate for automation by computer. However, over the past two decades researchers in ai have repeatedly questioned this attitude. The paper describes a specific evolutionary algorithm technique - genetic programming - within a scientific discovery framework, as well as its application on real world data.
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherOMISAR Project Publication
dc.publisher.placeSingapore
dc.publisher.urihttp://sol.oc.ntu.edu.tw/omisar/welcome.htm
dc.relation.ispartofconferencenameThe Seventh Workshop on Ocean Models for the APEC Region
dc.relation.ispartofconferencetitleProceedings the 7th Workshop on Ocean Models for the APEC Region
dc.relation.ispartofdatefrom2002-09-30
dc.relation.ispartofdateto2002-10-02
dc.relation.ispartoflocationSingapore
dc.subject.fieldofresearchcode260403
dc.subject.fieldofresearchcode280212
dc.titleModeling of Vertical Thermal Structure Using Genetic Programming
dc.typeConference output
dc.type.descriptionE2 - Conferences (Non Refereed)
dc.type.codeE - Conference Publications
gro.date.issued2002
gro.hasfulltextNo Full Text
gro.griffith.authorZhang, Hong


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    Contains papers delivered by Griffith authors at national and international conferences.

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