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

標題:A clustering-based method for fuzzy modeling
學年87
學期2
出版(發表)日期1999/06/01
作品名稱A clustering-based method for fuzzy modeling
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Institute of Electronics, Information and Communication Engineers (IEICE)
著錄名稱、卷期、頁數IEICE transactions on information and systems E82-D(6), pp.1058-1065
摘要In this paper, a clustering-based method is proposed for automatically constructing a multi-input Takagi-Sugeno (TS) fuzzy model where only the input-output data of the identified system are available. The TS fuzzy model is automatically generated by the process of structure identification and parameter identification. In the structure identification step, a clustering method is proposed to provide a systematic procedure to partition the input space so that the number of fuzzy rules and the shapes of fuzzy sets in the premise part are determined from the given input-output data. In the parameter identification step, the recursive least-squares algorithm is applied to choose the parameter values in the consequent part from the given input-output data. Finally, two examples are used to illustrate the effectiveness of the proposed method.
關鍵字
語言英文
ISSN0916-8532
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別日本
公開徵稿
出版型式,電子版,紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!