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:Neural Network-Based Fuzzy Systems
學年83
學期1
發表日期1994/12/12
作品名稱Neural Network-Based Fuzzy Systems
作品名稱(其他語言)
著者Su, Mu-Chun; Kao, Chien-Jen; Liu, Kai-Ming
作品所屬單位淡江大學電機工程學系
出版者
會議名稱1994 International Computer Symposium Conference
會議地點新北市, 臺灣
摘要In this paper, we discuss how to use FDHECNN's (fuzzy degraded hyperellipsoidal composite neural networks) to extract fuzzy rules for function approximation. The FDHECNN can perform function approximation in the same manner as networks based on Gaussion potential functions, by linear combination of local functions. Furthermore, the output functions of the hidden nodes in the FDHECNN's offer more flexibility than Gaussion potential functions do. A special scheme is developed to find a set of good initial weights in order to speed up the convergence problem. Results of simulations of a system identification demonstrates that the feasibility and robustness of the proposed fuzzy neural networks.
關鍵字模糊類神經網路;模糊規則抽取;函數近似;FDHECNNFuzzy Neural Network;Fuzzy Rule Extraction;Function Approximation;Fdhecnn
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間19941212~19941215
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處1994 International Computer Symposium Conference Proceeding Volume 2 of 2頁1246-1250
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!