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 GA-based method for constructing fuzzy systems directly from numerical data
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
語言英文
ISSN1083-4419
期刊性質
收錄於SCI;EI
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式
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