Self-organizing fuzzy intelligent system

Chunshien Li, Chun Yi Lee

研究成果: 雜誌貢獻會議論文同行評審


A self-organizing fuzzy system (SOFS) is presented. A plant model is not required for training, that is, the plant model is unknown to the SOFS. Using new data types, the vectors and matrices, a concise formulation is developed for the organization process and the inference activities of the SOFS. The fuzzy system can learn its rule-based structure and parameters from input/output training data. There is no fuzzy IF-THEN rule in the system initially. The fuzzy control policy is constructed automatically during learning process when the system is simulated by input/output training data. With the well-known random optimization (RO) method, the generated fuzzy system can learn its parameters for specific applications. The proposed SOFS is applied on temperature control problem.

頁(從 - 到)473-477
期刊Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
出版狀態已出版 - 2002
事件37th IAS Annual Meeting and World Conference on Industrial applications of Electrical Energy - Pittsburgh, PA, United States
持續時間: 13 10月 200218 10月 2002


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