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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46121

    題名: A neural-network-based approach to detecting hyperellipsoidal shells
    作者: 蘇木春;Su, Mu-chun;Liu, I-chen
    貢獻者: 淡江大學電機工程學系
    關鍵詞: cluster analysis;neural networks;shell detection
    日期: 1999-06
    上傳時間: 2010-03-26 20:59:49 (UTC+8)
    出版者: Springer
    摘要: This paper presents a novel class of neural networks which can be trained in an unsupervised manner to detect a mixture of hyperellipsoidal shells and/or segments of hyperellipsoidal shells. This approach is computationally and implementationally simpler than other clustering algorithms that have been suggested for this purpose. Experimental results on several data sets are presented.
    關聯: Neural Processing Letters 9(3), pp.279-292
    DOI: 10.1023/A:1018676508833
    顯示於類別:[電機工程學系暨研究所] 期刊論文


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