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dc.contributor.authorS. Kanitthakun
dc.contributor.authorA. Yaichareon
dc.contributor.authorP. Kumhom
dc.contributor.authorK. Chamnongthai
dc.date.accessioned2009-06-02T06:39:09Z
dc.date.accessioned2020-05-25T06:40:58Z-
dc.date.available2009-06-02T06:39:09Z
dc.date.available2020-05-25T06:40:58Z-
dc.date.issued2006-10-11T08:07:40Z
dc.date.submitted2004-12-15
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/1043-
dc.description.abstractThis paper proposes the classification of freeze-dried durian crispiness using fuzzy logic (FL). In freeze drying process, the durian texture is physically changed. Three features of the freezedried durian image are considered to indicate the crispiness. These three features are diameter of pore, ratio between pore and space, and distribution of pore. The classification uses the FL algorithm for decision making. The experiment results show high accuracy of freeze-dried durian crispiness classification comparing with expert opinions.
dc.description.sponsorship大同大學,台北市
dc.format.extent4p.
dc.format.extent316042 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2004 ICS會議
dc.subjectDurian
dc.subjectCrispiness
dc.subjectFreeze drying
dc.subjectSublimation Rate
dc.subjectFuzzy Logic
dc.subject.otherArtificial Intelligence
dc.titleClassifying Crispiness of Freeze-dried Durian Using Fuzzy Logic
分類:2004年 ICS 國際計算機會議

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