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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/20058

    Title: Artificial neural networks classification and clustering of methodologies and applications – literature analysis from 1995 to 2005
    Authors: 廖述賢;Liao, Shu-hsien;Wen, Chih-hao
    Contributors: 淡江大學經營決策學系
    Keywords: Artificial neural networks;Artificial neural networks methodologies and applications;Data mining;Association rule;Cluster analysis;Literature analysis
    Date: 2007-01-01
    Issue Date: 2009-11-30 12:31:31 (UTC+8)
    Publisher: Elsevier
    Abstract: Based on a scope of 10,120 articles on ANNs, this paper uses data mining including association rules and cluster analysis, to survey these ANNs papers through keyword classification and clustering of articles from 1995 to 2005, exploring the ANNs methodologies and application developments during that period. The four decision variables of keywords, author’s nationality, research category, and year of publication, are implemented for data mining with total of 110,080 data items. The research findings show that some specific ANNs methodologies and applications pattern can be extracted from the mining results, and these describe the ANNs development over this period. In addition, using more data mining approaches for analysis could provide different explanations for ANNs development. Finally, discussion and brief conclusion are presented.
    Relation: Expert Systems with Applications 32(1), pp.1-11
    DOI: 10.1016/j.eswa.2005.11.014
    Appears in Collections:[Department of Management Sciences] Journal Article

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