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 Neuro-Fuzzy Approach to System Identification
學年83
學期1
發表日期1994/12/15
作品名稱A Neuro-Fuzzy Approach to System Identification
作品名稱(其他語言)
著者Su, Mu-Chun; Kao, Chien-Jen
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 Symposium on Artificial Neural Networks
會議地點臺南, 臺灣
摘要In this paper, we present an innovative approach to the identification of non-linear systems. The proposed neuro-fuzzy system identifier employs a hybrid clustering and least mean squared error (LMS) algorithm. The neuro- fuzzy system under consideration is implemented as an two- layer FHRCNN (fuzzy hyperrectangular composite neural network). The SDDL (supervised decision-directed learning) algorithm is used to find a set of hyperrectangles defined by the parameters of hidden nodes while the LMS algorithm estimates the connection weights from hidden nodes to output nodes. Furthermore, based on the hybrid learning rule, the fuzzy neural networks can evolve automatically to acquire a set of fuzzy if-then rules for approximating the input/output functions of considered systems. A highly nonlinear system is used to test the proposed neural-fuzzy systems. The simulation results demonstrate its feasibility and robustness.
關鍵字系統識別;類神經網路;模糊理論;System Identification;Neural Network;Fuzzy Theory
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19941215~19941217
通訊作者
國別中華民國
公開徵稿Y
出版型式紙本
出處Proceedings of 1994 International Symposium on Artificial Neural Networks頁495-500
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