會議論文
| 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 | en |
| 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 | TWN |
| 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 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96021 ) |