Adaptive fuzzy rule-based classification system integrating both expert knowledge and data

Adaptive fuzzy rule-based classification system integrating both expert knowledge and data

This paper presents an adaptive fuzzy rule-based classification system using a new hybrid modeling method that integrates both expert knowledge and new knowledge learnt from data. Inspired by human learning, the membership functions of fuzzy rules are optimized based on a hybrid error function that...

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書目詳細資料
Main Authors:	Ng, Gee Wah, Tang, Wenyin, Mao, Kezhi, Mak, Lee Onn
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/99301 http://hdl.handle.net/10220/12873
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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