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	Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods
	Zhuang, Zhaoyi; Ben, Xianye; Yan, Rui; Pang, Jianhua; Li, Yongbin
刊名	NEURAL COMPUTING & APPLICATIONS
	2017
卷号	28期号:12页码:3993-4010
关键词	Ground-coupled heat pump (GCHP) Ground heat exchanger (GHE) Partial least squares regression (PLSR) Support vector regression (SVR) M5 Model Tree
DOI	10.1007/s00521-016-2307-7
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4591282
专题	山东大学
作者单位	1.Shandong Jianzhu Univ, Coll Thermal Energy Engn, Jinan 250101, Shandong, Peoples R China. 2.[Ben, Xianye 3.Pang, Jianhua
推荐引用方式 GB/T 7714	Zhuang, Zhaoyi,Ben, Xianye,Yan, Rui,et al. Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods[J]. NEURAL COMPUTING & APPLICATIONS,2017,28(12):3993-4010.
APA	Zhuang, Zhaoyi,Ben, Xianye,Yan, Rui,Pang, Jianhua,&Li, Yongbin.(2017).Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods.NEURAL COMPUTING & APPLICATIONS,28(12),3993-4010.
MLA	Zhuang, Zhaoyi,et al."Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods".NEURAL COMPUTING & APPLICATIONS 28.12(2017):3993-4010.

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