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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/39017

    Title: An efficient initialization scheme for the self-organizing feature map algorithm
    Authors: 蘇木春;Su, Mu-chun;Liu, Ta-kang;Chang, Hsiao-te
    Contributors: 淡江大學電機工程學系
    Date: 1999-07
    Issue Date: 2010-04-15 11:42:19 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: It is often reported in the technique literature that the success of the self-organizing feature map formation is critically dependent on the initial weights and the selection of main parameters of the algorithm, namely, the learning-rate parameter and the neighborhood function. In this paper, we propose an efficient initialization scheme to construct an initial map. We then use the self-organizing feature map algorithm to make small subsequent adjustments so as to improve the accuracy of the initial map. Two data sets are tested to illustrate the performance of the proposed method.
    Relation: Neural Networks, 1999. IJCNN '99. International Joint Conference on (Volume:3 ), pp.1906-1910
    DOI: 10.1109/IJCNN.1999.832672
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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