A heuristic error-feedback learning algorithm for fuzzy modeling

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題名:	A heuristic error-feedback learning algorithm for fuzzy modeling
作者:	Lo,JC;Yang,CH
貢獻者:	機械工程研究所
關鍵詞:	IDENTIFICATION;SYSTEMS;PREDICTION;RULES
日期:	1999
上傳時間:	2010-06-29 18:02:58 (UTC+8)
出版者:	中央大學
摘要:	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.
關聯:	IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
顯示於類別:	[機械工程研究所] 期刊論文

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