Supervised pseudo self-evolving cerebellar algorithm for generating fuzzy membership functions

Supervised pseudo self-evolving cerebellar algorithm for generating fuzzy membership functions

The proper generation of fuzzy membership function is of fundamental importance in fuzzy applications. The effectiveness of the membership functions in pattern classifications can be objectively measured in terms of interpretability and classification accuracy in the conformity of the decision bound...

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書目詳細資料
Main Authors:	Ang, K. K., Quek, Chai
其他作者:	School of Computer Engineering
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/96048 http://hdl.handle.net/10220/11135
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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