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dc.contributor.authorChang, Bao Rong
dc.contributor.authorTsai, Shiou Fen
dc.date.accessioned2009-08-23T04:47:36Z
dc.date.accessioned2020-05-29T06:16:59Z-
dc.date.available2009-08-23T04:47:36Z
dc.date.available2020-05-29T06:16:59Z-
dc.date.issued2006-10-13T08:35:56Z
dc.date.submitted2001-12-20
dc.identifier.urihttp://dspace.fcu.edu.tw/handle/2377/1234-
dc.description.abstractThis study introduced a new method for the short-term forecast theat actually is a hybrid model, combing the grey model and the cumulative least squared linear model, with the special feature of automatically adjusting the overestimated or underestimated predicted value around the points having extreme value. The verification of this study is also tested successfully in two experiments. This demonstrated theat the proposed method has the best accuracy of predicted value among four short-term forecasting models discussed in this study.
dc.description.sponsorship中國文化大學,台北市
dc.format.extent8p.
dc.format.extent207108 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2001 NCS會議
dc.subjectGrey model
dc.subjectCumulative least squared linear model
dc.subject.otherFuzzy Theory
dc.titleA New Prediction Method for Short-Term Forecast
分類:2001年 NCS 全國計算機會議

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