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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/30822


    Title: Applications of neural networks for grading textile yarns
    Authors: Lien,HC;Lee,S
    Contributors: 機械工程研究所
    Keywords: CLASSIFICATION
    Date: 2004
    Issue Date: 2010-07-06 16:28:09 (UTC+8)
    Publisher: 中央大學
    Abstract: The grade of textile yarns is an important index in evaluating the yarn's market value. This paper uses the backpropagation neural network (BNN) and Karhunen-Loeve (K-L) expansion method to construct a new and highly accurate grading system. Outcomes show
    Relation: NEURAL COMPUTING & APPLICATIONS
    Appears in Collections:[機械工程研究所] 期刊論文

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