TUNG FANG Institutional Repository:Item 987654321/276
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    Please use this identifier to cite or link to this item: http://163.15.40.127/ir/handle/987654321/276


    Title: Determination of the Economical Prediction in Small Data Set Learning
    Authors: 張峯銘;Chang, Fong-Ming;Chang, Fengming Michael;(東方技術學院行銷與流通管理系)
    Contributors: 東方技術學院行銷與流通管理系
    Keywords: Economic prediction;Small data set learning;Machine learning;Neuro-fuzzy
    Date: 2006-11
    Issue Date: 2009-10-14 11:16:04 (UTC+8)
    Abstract: The economical prediction difficulties are not only because of the uncertain influence factors but also the insufficiency of data. Although many artificial intelligence or machine learning methods are used to predict the economy, however these methods had to rely on the massive data to obtain the prediction accuracy, does not suit merely relies on recent years' data to make the economical prediction. This research improves the economical prediction accuracy by a small data set method. This method was proposed by Li et al. [3,7] for the best decision-making prediction in the flexible manufacture system. In this article, two cases of applying the small data method to make the economical prediction are presented. The results showed that to make the economical prediction by such method is extremely successful.
    Relation: WSEAS Transactions on Computers , Vol.5 no.11, pp.2743-2750
    Appears in Collections:[Department of Marketing Distribution management] journal

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