教師資料查詢 | 類別: 會議論文 | 教師: 翁慶昌 Wong Ching-chang (瀏覽個人網頁)

標題:Generating fuzzy rules by a GA-based method from input-output data
學年
學期
發表日期1999/10/01
作品名稱Generating fuzzy rules by a GA-based method from input-output data
作品名稱(其他語言)從輸出入資料中建立模糊規則之以遺傳演算為基的方法
著者Wong, Ching-chang; Chen, Chia-chong
作品所屬單位淡江大學電機工程學系
出版者Institute of Electrical and Electronics Engineers (IEEE)
會議名稱Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
會議地點Tokyo, Japan
摘要A method based on the concepts of the 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 fewer 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 GA 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, two identification problems of nonlinear systems are utilized to illustrate the efficiency of the proposed method.
關鍵字
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
通訊作者
國別日本
公開徵稿Y
出版型式紙本
出處Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on (Volume:5 ), pp.278-283
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