A novel efficient learning algorithm for self-generating fuzzy neural network with applications

A novel efficient learning algorithm for self-generating fuzzy neural network with applications

In this paper, a novel efficient learning algorithm towards self-generating fuzzy neural network (SGFNN) is proposed based on ellipsoidal basis function (EBF) and is functionally equivalent to a Takagi-Sugeno-Kang (TSK) fuzzy system. The proposed algorithm is simple and efficient and is able to gene...

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書目詳細資料
Main Authors:	Liu, Fan, Er, Meng Joo
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/96812 http://hdl.handle.net/10220/11607
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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