First study of fuzzy cognitive map learning using ants colony optimization

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	First study of fuzzy cognitive map learning using ants colony optimization
	Ding, Zhengjian; Li, Dai; Jia, Juanjuan
刊名	Journal of Computational Information Systems
	2011-12-01
卷号	7 期号:13 页码:4756-4763
关键词	Artificial intelligence Cellular automata Fuzzy rules Fuzzy systems Large scale systems Optimization Soft computing Colony optimization Fuzzy cognitive map Objective functions Process control industry Swarm Intelligence
ISSN号	15539105
英文摘要	An approach for Fuzzy Cognitive Maps (FCMs) learning, which is based on the minimization of a properly defined objective function using the Ants Colony Optimization algorithm, is presented. The proposed approach is used in a well-established process control industry issues, and the results are availability. This novel approach overcomes some deficiencies of other learning algorithms and enriches the swarm intelligence algorithms in FCMs learning, thus, improves the efficiency and robustness of Fuzzy Cognitive Maps. © 2011 Binary Information Press December, 2011.
语种	英语
出版者	Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/110997]
专题	兰州理工大学
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	Ding, Zhengjian,Li, Dai,Jia, Juanjuan. First study of fuzzy cognitive map learning using ants colony optimization[J]. Journal of Computational Information Systems,2011,7(13):4756-4763.
APA	Ding, Zhengjian,Li, Dai,&Jia, Juanjuan.(2011).First study of fuzzy cognitive map learning using ants colony optimization.Journal of Computational Information Systems,7(13),4756-4763.
MLA	Ding, Zhengjian,et al."First study of fuzzy cognitive map learning using ants colony optimization".Journal of Computational Information Systems 7.13(2011):4756-4763.