教師資料查詢 | 類別: 會議論文 | 教師: 蘇木春 SU MU-CHUN (瀏覽個人網頁)

標題:A Real-Valued GA-Based Approach to Extracting Control Fuzzy Rules
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
語言英文
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
國別中華民國
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
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