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	An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample
	Jia, Weikuan; Zhao, Dean; Ding, Ling
刊名	APPLIED SOFT COMPUTING
	2016
卷号	48页码:373-384
关键词	Partial least squares RBF neural network Genetic algorithm PLS-GA-RBF algorithm Small sample classification
DOI	10.1016/j.asoc.2016.07.037
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/4699851
专题	山东大学
作者单位	1.Shandong Univ Technol, Sch Agr Engn & Food Sci, Zibo 255000, Peoples R China. 2.Jiangsu Univ, Sch Elect & Informat Engn,
推荐引用方式 GB/T 7714	Jia, Weikuan,Zhao, Dean,Ding, Ling. An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample[J]. APPLIED SOFT COMPUTING,2016,48:373-384.
APA	Jia, Weikuan,Zhao, Dean,&Ding, Ling.(2016).An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample.APPLIED SOFT COMPUTING,48,373-384.
MLA	Jia, Weikuan,et al."An optimized RBF neural network algorithm based on partial least squares and genetic algorithm for classification of small sample".APPLIED SOFT COMPUTING 48(2016):373-384.

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