Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networks
學年 83
學期 2
發表日期 1995-03-20
作品名稱 Rule extraction using a novel class of fuzzy degraded hyperellipsoidal composite neural networks
作品名稱（其他語言）
著者 Su, Mu-chun; Kao, Chien-jen; Liu, Kai-ming; Liu, Chi-yeh
作品所屬單位 淡江大學電機工程學系
出版者 N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
會議名稱 International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE International Conference on Fuzzy Systems 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
會議地點 Yokohama, Japan
摘要 Presents 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 trained FDHECNN's. Based on a special learning scheme, the FDHECNN's can evolve automatically to acquire a set of fuzzy rules for approximating the input/output functions considered systems. A highly nonlinear system is used to test the proposed neuro-fuzzy systems.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19950320~19950324
通訊作者
國別 JPN
公開徵稿
出版型式
出處 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.233-238
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