A heuristic error-feedback learning algorithm for fuzzy modeling

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > journal & Dissertation > Item 987654321/26906

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/26906

Title:	A heuristic error-feedback learning algorithm for fuzzy modeling
Authors:	Lo,JC;Yang,CH
Contributors:	機械工程研究所
Keywords:	IDENTIFICATION;SYSTEMS;PREDICTION;RULES
Date:	1999
Issue Date:	2010-06-29 18:02:58 (UTC+8)
Publisher:	中央大學
Abstract:	This article describes a new type of fuzzy system with interpolating capability to extract MISO fuzzy rules from input-output sample data through learning. The proposed model inherits many merits from Sugeno-type models and their variations. A heuristic error-feedback learning algorithm associated with the new model is suggested. Based on which, the estimator is shown to have a self-adjusting step when approaching a minimum.
Relation:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
Appears in Collections:	[Graduate Institute of Mechanical Engineering] journal & Dissertation

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