Constructing a user-friendly GA-based fuzzy system directly from numerical data

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/32387

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32387

Title:	Constructing a user-friendly GA-based fuzzy system directly from numerical data
Authors:	Teng,YW;Wang,WJ
Contributors:	電機工程研究所
Keywords:	UNIVERSAL APPROXIMATORS;TRAINING EXAMPLES;RULES;CLASSIFICATION;PERFORMANCE;GENERATION
Date:	2004
Issue Date:	2010-07-06 18:26:04 (UTC+8)
Publisher:	中央大學
Abstract:	This paper proposes a novel genetic algorithms (GA)-based algorithm to construct a user-friendly fuzzy system for approximating an unknown system with a satisfactory degree of accuracy. In the algorithm, the adequate number of fuzzy rules, the adequate nu
Relation:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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