| Adaptive TSK-type self-evolving neural control for unknown nonlinear systems | |
|---|---|
| 學年 | 101 |
| 學期 | 1 |
| 發表日期 | 2012-09-18 |
| 作品名稱 | Adaptive TSK-type self-evolving neural control for unknown nonlinear systems |
| 作品名稱（其他語言） | |
| 著者 | Lin, Yu-Hsiung; Hsu, Chun-Fei |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 會議名稱 | 2012 International Conference on Advanced Mechatronic Systems |
| 會議地點 | Tokyo, Japan |
| 摘要 | In this paper, a real-time approximator using a TSK-type self-evolving neural network (TSNN) is studied. The learning algorithm of the proposed TSNN not only automatically online generates and prunes the hidden neurons but also online adjusts the network parameters. |
| 關鍵字 | TSK-type self-evolving neural control |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20120918~20120921 |
| 通訊作者 | Hsu, Chun-Fei |
| 國別 | JPN |
| 公開徵稿 | Y |
| 出版型式 | 電子版 |
| 出處 | Proceedings of the 2012 International Conference on Advanced Mechatronic Systems, pp.644-649 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81330 ) |
| SDGS | 尊嚴就業與經濟發展,產業創新與基礎設施 |
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