Least squares regularized method for one-dimensional source inverse heat conduction problem

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dc.contributor.authorWu, Zikuko
dc.contributor.authorLi, Fuleko
dc.contributor.authorKwak, Do Youngko
dc.date.accessioned2019-03-08T19:19:43Z-
dc.date.available2019-03-08T19:19:43Z-
dc.date.created2017-03-28-
dc.date.issued2016-01-
dc.identifier.citationJisuan Wuli/Chinese Journal of Computational Physics, v.33, no.1, pp.49 - 56-
dc.identifier.issn1001-246X-
dc.identifier.urihttp://hdl.handle.net/10203/251154-
dc.description.abstractWe deal with one-dimensional source inverse heat conduction equation. An approach based on least squares support vector machines (LS-SVM) is proposed for semi-analytic approximate solutions. Furthermore, a parameters tuning formulism is shown and stability of the method is presented. The method yields high accuracy and stability solutions in practical examples.-
dc.languageChinese-
dc.publisherEditorial Board of Chinese Journal of Computational-
dc.titleLeast squares regularized method for one-dimensional source inverse heat conduction problem-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85000643978-
dc.type.rimsART-
dc.citation.volume33-
dc.citation.issue1-
dc.citation.beginningpage49-
dc.citation.endingpage56-
dc.citation.publicationnameJisuan Wuli/Chinese Journal of Computational Physics-
dc.contributor.localauthorKwak, Do Young-
dc.contributor.nonIdAuthorWu, Ziku-
dc.contributor.nonIdAuthorLi, Fule-
dc.subject.keywordAuthorLeast squares support vector machines-
dc.subject.keywordAuthorOne-dimensional heat conduction equation-
dc.subject.keywordAuthorQuadratic programming-
dc.subject.keywordAuthorSource inverse problem-
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MA-Journal Papers(저널논문)
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