關鍵字查詢 | 類別:會議論文 | | 關鍵字:Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networks

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序號 學年期 教師動態
1 83/2 電機系 蘇木春 教授 會議論文 發佈 Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networks , [83-2] :Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networks會議論文Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networksSu, Mu-chun; Kao, Chien-jen; Liu, Kai-ming; Liu, Chi-yeh淡江大學電機工程學系N.Y.: Institute of Electrical and Electronic Engineers (IEEE)Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int (Volume:1 ), pp.233-238Presents an innovative approach to rule extraction directly from experimental numerical data for system identification. The authors discuss how to use a novel class of fuzzy degraded hyperellipsoidal composite neural networks (FDHECNN's) to extract fuzzy if-then rules. The fuzzy rules are defined by hyperellipsoids of which principal axes are parallel to the coordinates of the input space. These rules are extracted from the parameters of the traine
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