期刊論文
| 學年 | 89 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2000-12-01 |
| 作品名稱 | A GA-based method for constructing fuzzy systems directly from numerical data |
| 作品名稱（其他語言） | |
| 著者 | 翁慶昌; Wong, Ching-chang; Chen, Chia-chong |
| 單位 | 淡江大學電機工程學系 |
| 出版者 | Piscataway: Institute of Electrical and Electronics Engineers (IEEE) |
| 著錄名稱、卷期、頁數 | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 30(6), pp.904-911 |
| 摘要 | A method based on the concepts of genetic algorithm (GA) and recursive least-squares method is proposed to construct a fuzzy system directly from some gathered input-output data of the discussed problem. The proposed method can find an appropriate fuzzy system with a low number of rules to approach an identified system under the condition that the constructed fuzzy system must satisfy a predetermined acceptable performance. In this method, each individual in the population is constructed to determine the number of fuzzy rules and the premise part of the fuzzy system, and the recursive least-squares method is used to determine the consequent part of the constructed fuzzy system described by this individual. Finally, three identification problems of nonlinear systems are utilized to illustrate the effectiveness of the proposed method. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1083-4419 |
| 期刊性質 | |
| 收錄於 | SCI EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46250 ) |