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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/987654321/60738

    題名: Generating diagnositc rules directly from experimental data
    作者: Su, Mu-chun;Hsieh, Ching-tang;Chin, Chieh-ching
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Neural networks;Fuzzy systems;Computer-aided expert systems;Medical diagnosis
    日期: 1997-12
    上傳時間: 2013-05-31 11:45:24 (UTC+8)
    出版者: Singapore: World Scientific Publishing Co. Pte. Ltd.
    摘要: Traditionally, a major task in building a medical diagnosis expert system is the process of acquiring the required knowledge in the form of production rules. alternative knowledge acquisition approaches to articulating knowledge required for diagnostic tasks are presented in this paper. Each approach has its own advantages and disadvantages. The ultimate goal of these approaches is to free human experts from tedious diagnosis loads. The effectiveness of these approaches is demonstrated by an example of a hypothesis regarding the pathophysiology of diabetes.
    關聯: Biomedical Engineering: Applications, Basis and Communications 9(6), pp.9-14
    顯示於類別:[電機工程學系暨研究所] 期刊論文


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