期刊論文
| 學年 | 95 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2006-08-16 |
| 作品名稱 | The Development of a Weighted Evolving Fuzzy Neural Network |
| 作品名稱（其他語言） | |
| 著者 | Pei-Chann Chang; Chen-Hao Liu; Chia-Hsuan Yeh; Shih-Hsin Chen |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Lecture Notes in Artificial Intelligence 4114, p.212-221 |
| 摘要 | This study modifies the Evolving Fuzzy Neural Network Framework (EFuNN framework) proposed by Kasabov (1998) and adopts a weighted factor to calculate the importance of each factor among these different rules. In addition, an exponential transfer function (exp (-D)) is employed to transfer the distance of any two factors into the value of similarity among different rules, thus a different rule clustering method is developed accordingly. The intensive experimental results show that the WEFuNN performs very well when applied in the PCB sales forecasting. |
| 關鍵字 | |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 是 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121470 ) |