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    jsp.display-item.identifier=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/987654321/20058

    题名: Artificial neural networks classification and clustering of methodologies and applications – literature analysis from 1995 to 2005
    作者: 廖述賢;Liao, Shu-hsien;Wen, Chih-hao
    贡献者: 淡江大學經營決策學系
    关键词: Artificial neural networks;Artificial neural networks methodologies and applications;Data mining;Association rule;Cluster analysis;Literature analysis
    日期: 2007-01-01
    上传时间: 2009-11-30 12:31:31 (UTC+8)
    出版者: Elsevier
    摘要: 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.
    關聯: Expert Systems with Applications 32(1), pp.1-11
    DOI: 10.1016/j.eswa.2005.11.014
    显示于类别:[管理科學學系暨研究所] 期刊論文


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