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	Training Multilayer Perceptron By Using Optimal Input Normalization
	Cai, Xun; Tyagi, Kanishka; Manry, Michael T.
刊名	IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
	2011
页码	2771-2778
关键词	multilayer perceptron (MLP) orthogonal least square (OLS) Gauss-Newton output weights optimization back propagation (OWO-BP) optimal learning factor (OLF) hidden weights optimization (HWO) Schmidt procedure
DOI	10.1109/FUZZY.2011.6007648
会议名称	IEEE International Conference on Fuzzy Systems (FUZZ 2011)
URL标识	查看原文
会议日期	JUN 27-30, 2011
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5477395
专题	山东大学
作者单位	1.Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Shandong, Peoples R China. 2.Univ Texas Arlingto
推荐引用方式 GB/T 7714	Cai, Xun,Tyagi, Kanishka,Manry, Michael T.. Training Multilayer Perceptron By Using Optimal Input Normalization[J]. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011),2011:2771-2778.
APA	Cai, Xun,Tyagi, Kanishka,&Manry, Michael T..(2011).Training Multilayer Perceptron By Using Optimal Input Normalization.IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011),2771-2778.
MLA	Cai, Xun,et al."Training Multilayer Perceptron By Using Optimal Input Normalization".IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) (2011):2771-2778.

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