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

標題:Generating Diagnostic Rules Directly from Experimental Data
學年84
學期2
發表日期1996/05/26
作品名稱Generating Diagnostic Rules Directly from Experimental Data
作品名稱(其他語言)
著者Su, Mu-Chun
作品所屬單位淡江大學電機工程學系
出版者
會議名稱第二屆國際醫學工程週=The 2nd Medical Engineering Week of the World
會議地點臺北市, 臺灣
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(IF...THEN...). Alternative knowledge acquisition approach 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.
關鍵字診斷;實驗數據;類神經網路;模糊系統;Diagnosis;Experimental Data;Neural Network;Fuzzy System
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間19960526~19960530
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處第二屆國際醫學工程週論文集=Proceedings of the 2nd Medical Engineering Week of the World頁438-443
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!