教師資料查詢 | 類別: 期刊論文 | 教師: 蘇木春 SU MU-CHUN (瀏覽個人網頁)

標題:Generating diagnositc rules directly from experimental data
學年86
學期1
出版(發表)日期1997/12/01
作品名稱Generating diagnositc rules directly from experimental data
作品名稱(其他語言)
著者Su, Mu-chun;Hsieh, Ching-tang;Chin, Chieh-ching
單位淡江大學電機工程學系
出版者Singapore: World Scientific Publishing Co. Pte. Ltd.
著錄名稱、卷期、頁數Biomedical Engineering: Applications, Basis and Communications 9(6), pp.9-14
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.
關鍵字Neural networks;Fuzzy systems;Computer-aided expert systems;Medical diagnosis
語言英文
ISSN1016-2372
期刊性質國外
收錄於
產學合作
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審稿制度
國別新加坡
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出版型式紙本
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