• 作者： 周志成; 陳志宏
• 作者服務機構： 交通大學控制工程研究所
• 中文摘要： 本文討論模糊系統的模式架構與其參數學習法則。全文重點在於模糊系統的設計原理、工作特性與參數調整。我們提出簡化系統架構與多種教導式參數調整法則使模糊系統具學習能力。模擬結果顯示所提出的系統架構與學習法則對於非線性函數近似與系統識別問題均極為有效。
• 英文摘要： This paper presents model structures for fuzzy systems and accompanies these model structures with learningalgorithms. The emphasis of the paper is on the basic principles of the design, operating characteristics, and adaptationof fuzzy systems. Several supervised learning algorithms for the adjustment of parameters are discussed. Resultsof simulations of function approximation and system identification demonstrate that the model structures andsupervised learning algorithms suggested for fuzzy systems are practically feasible.
• 中文關鍵字： fuzzy systems; supervised learning; parameter estimation; function approximation; identification
• 英文關鍵字： --