關鍵字查詢 | 類別:會議論文 | | 關鍵字:Generating Diagnostic Rules Directly from Experimental Data

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序號 學年期 教師動態
1 84/2 電機系 蘇木春 教授 會議論文 發佈 Generating Diagnostic Rules Directly from Experimental Data , [84-2] :Generating Diagnostic Rules Directly from Experimental Data會議論文Generating Diagnostic Rules Directly from Experimental DataSu, Mu-Chun淡江大學電機工程學系診斷;實驗數據;類神經網路;模糊系統;Diagnosis;Experimental Data;Neural Network;Fuzzy System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台灣大學醫學工程研究中心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.20140213add by 陸桂英;tku_id: 000095024;Submitted by 桂英 陸 (deer@mail.tku.edu.tw) on 2014-02-13T03:35:43Z
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