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 | 否 |
| 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 ) |