Use of fuzzy neural networks with grey relations in fuzzy rules partition optimization

Hui Chen Chang; Yau Tarng Juang

doi:10.1007/11539902_147

Use of fuzzy neural networks with grey relations in fuzzy rules partition optimization

Hui Chen Chang, Yau Tarng Juang

電機工程學系

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

摘要

The objective of this paper is to use the back-propagation (BP) algorithm in conjunction with grey relations to find the optimal partitions of the consequent part in fuzzy neural networks (FNN). A BP algorithm with grey relational coefficient (GRC) is proposed in order to decrease the square errors of the FNN for acquiring the optimal partitions of the consequent part of fuzzy rules. From the simulation results, we find that the present method applied for fuzzy logic control of an inverted pendulum has better performance than that of the traditional BP algorithm.

原文	???core.languages.en_GB???
頁（從 - 到）	1172-1177
頁數	6
期刊	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	3612
發行號	PART III
DOIs	https://doi.org/10.1007/11539902_147
出版狀態	已出版 - 2005
事件	First International Conference on Natural Computation, ICNC 2005 - Changsha, China 持續時間: 27 8月 2005 → 29 8月 2005

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10.1007/11539902_147

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Use of fuzzy neural networks with grey relations in fuzzy rules partition optimization. / Chang, Hui Chen; Juang, Yau Tarng.
於: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 3612, 編號 PART III, 2005, p. 1172-1177.

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

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Use of fuzzy neural networks with grey relations in fuzzy rules partition optimization

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