淡江大學機構典藏:Item 987654321/39017
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    題名: An efficient initialization scheme for the self-organizing feature map algorithm
    作者: 蘇木春;Su, Mu-chun;Liu, Ta-kang;Chang, Hsiao-te
    貢獻者: 淡江大學電機工程學系
    日期: 1999-07
    上傳時間: 2010-04-15 11:42:19 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: 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.
    關聯: Neural Networks, 1999. IJCNN '99. International Joint Conference on (Volume:3 ), pp.1906-1910
    DOI: 10.1109/IJCNN.1999.832672
    顯示於類別:[電機工程學系暨研究所] 會議論文

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