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dc.contributor.authorNg, R.
dc.contributor.authorAshdown, S. P.
dc.contributor.authorChan, A.
dc.date.accessioned2009-08-23T05:58:01Z
dc.date.accessioned2020-08-05T07:08:19Z-
dc.date.available2009-08-23T05:58:01Z
dc.date.available2020-08-05T07:08:19Z-
dc.date.issued2007-08-24T07:17:53Z
dc.date.submitted2007-06-29
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2377/3920-
dc.description.abstractA size table is an efficient tool for improving the fitting of the massively produced garment. Traditionally, the size table is created based on the statistical tools based on linear size steps. Yet the statistical tools are much limited in the sense that it does not allow the user to fine-tune the criteria. So, in the current study, we have applied artificial intelligence technique to build the size table automatically according to the specification of the user. The result is a software system written in Mathematica™. The test data is part of the size USA. The performance of the size table is evaluated according to the cover factor of the size table.
dc.description.sponsorship中華民國紡織工程學會
dc.description.sponsorship逢甲大學
dc.format.extent6p.
dc.format.extent119328 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries第九屆亞太紡織國際會議
dc.subjectApparel sizing
dc.subjectSize table
dc.subjectanthropometric survey
dc.subjectAI
dc.subjectfit
dc.titleIntelligent Size Table Generation
dc.title.alternative智慧尺碼表製作法
分類:第九屆亞太紡織國際會議

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