請用此 Handle URI 來引用此文件: http://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/32069
標題: Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control
作者: 國立臺灣師範大學電機工程學系
C.-H. Wang
W.-Y. Wang
公開日期: 5-十月-1994
摘要: A general methodology for constructing fuzzy membership functions via B-spline curve is proposed. By using the method of least-squares, we translate the empirical data into the form of the control points of B-spline curves to construct fuzzy membership functions. This unified form of fuzzy membership functions is called as B-spline membership functions (BMF's). By using the local control property of B-spline curve, the BMF's can be tuned locally during learning process. For the control of a model car through fuzzy-neural networks, it is shown that the local tuning of BMF's can indeed reduce the number of iterations tremendously
URI: http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32069
其他識別: ntnulib_tp_E0604_02_092
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