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	Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models
	Liu, Yan; Yang, Dakun; Nan, Nan; Guo, Li; Zhang, Jianjun
刊名	NEURAL PROCESSING LETTERS
	2016
卷号	43页码:745-758
关键词	TSK fuzzy models Pi-sigma network Strong convergence Gradient-based learning algorithm
ISSN号	1370-4621
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4368213
专题	大连理工大学
作者单位	1.Dalian Polytech Univ, Sch Informat Sci & Engn, Dalian 116034, Peoples R China. 2.Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116024, Peoples R China. 3.Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China. 4.Jining Polytech, Dept Electromech Engn, Jining 272037, Peoples R China. 5.Dalian Polytech Univ, Sch Informat Sci & Engn, Dalian 116034, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Yan,Yang, Dakun,Nan, Nan,et al. Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models[J]. NEURAL PROCESSING LETTERS,2016,43:745-758.
APA	Liu, Yan,Yang, Dakun,Nan, Nan,Guo, Li,&Zhang, Jianjun.(2016).Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models.NEURAL PROCESSING LETTERS,43,745-758.
MLA	Liu, Yan,et al."Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models".NEURAL PROCESSING LETTERS 43(2016):745-758.

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