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	Hot Oil Pipeline Simulation Based on Chaotic Particle Swarm Optimized RBF Neural Network
	Li, S.a; Zhang, Y.a; Zhou, M.a,b; Jin, S.a
刊名	Nanotechnology and Precision Engineering
	2017
卷号	Vol.15 No.3页码:181-186
关键词	hot oil pipeline simulation chaotic particle swarm optimization algorithm RBF neural network forecast model
ISSN号	1672-6030
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/2893505
专题	天津大学
作者单位	1.aState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, 300072, China 2.bSINOPEC Pipeline Transport & Storage Company, Xuzhou, 221008, China
推荐引用方式 GB/T 7714	Li, S.a,Zhang, Y.a,Zhou, M.a,b,et al. Hot Oil Pipeline Simulation Based on Chaotic Particle Swarm Optimized RBF Neural Network[J]. Nanotechnology and Precision Engineering,2017,Vol.15 No.3:181-186.
APA	Li, S.a,Zhang, Y.a,Zhou, M.a,b,&Jin, S.a.(2017).Hot Oil Pipeline Simulation Based on Chaotic Particle Swarm Optimized RBF Neural Network.Nanotechnology and Precision Engineering,Vol.15 No.3,181-186.
MLA	Li, S.a,et al."Hot Oil Pipeline Simulation Based on Chaotic Particle Swarm Optimized RBF Neural Network".Nanotechnology and Precision Engineering Vol.15 No.3(2017):181-186.

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