Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control

Chi Hsu Wang; Wei Yen Wang; Tsu Tian Lee; Pao Shun Tseng

Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control

Chi Hsu Wang^*
, Wei Yen Wang
, Tsu Tian Lee
, Pao Shun Tseng

^*此作品的通信作者

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

1 引文斯高帕斯（Scopus）

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.

原文	英語
頁（從 - 到）	2008-2014
頁數	7
期刊	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
卷	2
出版狀態	已發佈 - 1994
對外發佈	是
事件	Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA 持續時間: 1994 10月 2 → 1994 10月 5

ASJC Scopus subject areas

控制與系統工程
硬體和架構

其它文件與鏈接

Link to publication in Scopus

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abstract = "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.",

author = "Wang, \{Chi Hsu\} and Wang, \{Wei Yen\} and Lee, \{Tsu Tian\} and Tseng, \{Pao Shun\}",

year = "1994",

language = "English",

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note = "Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) ; Conference date: 02-10-1994 Through 05-10-1994",

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T1 - Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control

AU - Wang, Chi Hsu

AU - Wang, Wei Yen

AU - Lee, Tsu Tian

AU - Tseng, Pao Shun

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0028740250

UR - https://www.scopus.com/pages/publications/0028740250#tab=citedBy

M3 - Conference article

AN - SCOPUS:0028740250

SN - 0884-3627

VL - 2

SP - 2008

EP - 2014

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

T2 - Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3)

Y2 - 2 October 1994 through 5 October 1994

ER -

Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control

摘要

ASJC Scopus subject areas

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