會議論文
| 學年 | 84 |
|---|---|
| 學期 | 2 |
| 發表日期 | 1996-04-12 |
| 作品名稱 | A Real-Valued GA-Based Approach to Extracting Control Fuzzy Rules |
| 作品名稱（其他語言） | |
| 著者 | Su, Mu-Chun; Chang, Hsiao-Te; Yu, Hua-Chiao |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 會議名稱 | 一九九六自動控制研討會暨兩岸機電及控制技術交流學術研討會=1996 Automatic Control Conference |
| 會議地點 | 臺北縣, 臺灣 |
| 摘要 | In this paper, we present a neuro-fuzzy approach to design a controller directly from numerical data. The proposed neuro-fuzzy system is implemented as a two-layer Fuzzy Degraded HyperEllipsoidal Composite Neural Network(FDHECNN). We used a real-valued genetic algorithm to adjust weights of the composite neural networks. After sufficient training, the synaptic weights of the trained FDHECNN can be utilized to extract a set of fuzzy if-then rules. The performance of a trained FDHECNN is shown to be computationally identical to a fuzzy logic controller. The effectiveness and feasibility of the neuro-fuzzy system are tested on the truck backer-upper control problem. |
| 關鍵字 | 遺傳演算法;模糊邏輯控制器;神經-模糊系統;專家系統;Genetic Algorithm;Fuzzy Logic Controller;Neuro-Fuzzy System;Expert System |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 兩岸 |
| 校內研討會地點 | 淡水校園 |
| 研討會時間 | 19960412~19960413 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 一九九六自動控制研討會暨兩岸機電及控制技術交流學術研討會論文集=Proceedings of 1996 Automatic Control Conference，頁289-294 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95971 ) |