關鍵字查詢 | 類別:會議論文 | | 關鍵字:A Neuro-Fuzzy Approach to System Identification

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序號 學年期 教師動態
1 83/1 電機系 蘇木春 教授 會議論文 發佈 A Neuro-Fuzzy Approach to System Identification , [83-1] :A Neuro-Fuzzy Approach to System Identification會議論文A Neuro-Fuzzy Approach to System IdentificationSu, Mu-Chun; Kao, Chien-Jen淡江大學電機工程學系系統識別;類神經網路;模糊理論;System Identification;Neural Network;Fuzzy TheoryProceedings of 1994 International Symposium on Artificial Neural Networks,頁495-500成功大學; 行政院國家科學委員會; 教育部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
2 82/1 電機系 蘇木春 教授 會議論文 發佈 A neuro-fuzzy approach to system identification , [82-1] :A neuro-fuzzy approach to system identification會議論文A neuro-fuzzy approach to system identification蘇木春; Su, Mu-chun淡江大學電機工程學系International symposium on artificial neural networks, Taiwantku_id:000095024;Made available in DSpace on 2010-01-11T08:19:48Z (GMT). No. of bitstreams: 0en國內19940101~19940101<links><record><name>機構典藏連結</name><url>http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/38987</url></record></links>
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