| Applying fuzzy adaptive network to fuzzy regression analysis | |
|---|---|
| 學年 | 87 |
| 學期 | 2 |
| 出版（發表）日期 | 1999-03-01 |
| 作品名稱 | Applying fuzzy adaptive network to fuzzy regression analysis |
| 作品名稱（其他語言） | |
| 著者 | 鄭啟斌; Lee, E. S. |
| 單位 | 淡江大學資訊管理學系 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computers and Mathematics with Applications 38(2), pp.123-140 |
| 摘要 | A fuzzy inference system based on the Sugeno inference model is first formulated for fuzzy regression analysis. This system is then represented by a fuzzy adaptive network. This approach combines the power of representation of fuzzy inference system with the ability of learning of the neural network. Numerical examples are trained and solved to illustrate the approach. The results are compared with other approaches. |
| 關鍵字 | Fuzzy regression; Fuzzy adaptive network; Fuzzy inference system; Learning rules |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/68558 ) |
| SDGS | 產業創新與基礎設施 |
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