Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm

	Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm
	Fei-Yue Wang; Hung-man Kim
刊名	Journal of Intelligent and Fuzzy Systems
	1995
卷号	3 期号:2 页码:165-180
关键词	Neural Networks,Design Paradigm
通讯作者	Fei-Yue Wang
英文摘要	This article proposes a design of adaptive fuzzy logic based control systems (FLCSs) with neural networks. A detailed discussion of effects of different reasoning methods on fuzzy controls is given and used to illustrate the need for an adaptive implementation of fuzzy controls. The procedure of decision-making of a FLCS leads to a neuro-fuzzy network consisting of three types of subnets for pattern recognition, fuzzy reasoning, and control synthesis, respectively. The unique knowledge structure embedded in this structured network enables it to carry out adaptive changes of fuzzy reasoning methods and membership functions for both input signal patterns and output control actions, and then recover these changes individually and completely later from its sub nets . Gradient methods for optimization have been used to derive off-line training rules and on-line learning algorithms for the structured neuro-fuzzy network. Issues related to rule modification and generation for an FLCS are addressed based on its network implementation. © 1995 John Wiley and Sons, Inc.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/14166]
专题	自动化研究所_09年以前成果
推荐引用方式 GB/T 7714	Fei-Yue Wang,Hung-man Kim. Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm[J]. Journal of Intelligent and Fuzzy Systems,1995,3(2):165-180.
APA	Fei-Yue Wang,&Hung-man Kim.(1995).Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm.Journal of Intelligent and Fuzzy Systems,3(2),165-180.
MLA	Fei-Yue Wang,et al."Implementing Adaptive Fuzzy Logic Controllers with Neural Networks: A Design Paradigm".Journal of Intelligent and Fuzzy Systems 3.2(1995):165-180.