期刊論文

學年 100
學期 1
出版(發表)日期 2011-12-01
作品名稱 A Clustering-based Algorithm to Extracting Fuzzy Rules for System Modeling
作品名稱(其他語言)
著者 Chen, Ching-Yi; Li, Shin-An; Liu, Ta-Kang; Chen, Kuang-Yuan; Wong, Ching-Chang
單位 淡江大學電機工程學系
出版者 Korea: Advanced Institute of Convergence IT
著錄名稱、卷期、頁數 International Journal of Advancements in Computing Technology 3(11), pp.394-401
摘要 In this paper, a clustering-based algorithm is proposed for automatically constructing a multi-input fuzzy model where only the input-output data of the identified system are available. The proposed clustering method can automatically yield the number of clusters and its associated cluster centers from the input training data. While the features of training data are extracted by the proposed clustering method, the valuable information on the initial structure of the Sugeno-type fuzzy inference system is built up. For testing the performance of the proposed system modeling method, two wellknow examples from the literature and one real-world data set from the Taiwan's stock market are used to illustrate the validity of the proposed fuzzy system design procedure.
關鍵字
語言 en
ISSN 2005-8039 2233-9337
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Chen, Ching-Yi; Li, Shin-An; Liu, Ta-Kang; Chen, Kuang-Yuan; Wong, Ching-Chang
審稿制度
國別 KOR
公開徵稿
出版型式 ,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75246 )

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