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	Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system
	Dong, S.a; Zhang, Y.a,b; He, Z.a; Deng, N.a; Yu, X.a; Yao, S.b
刊名	Energy
	2018
卷号	Vol.144页码:14
ISSN号	0360-5442
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/2897058
专题	天津大学
作者单位	1.aSchool of Environmental Science and Engineering, MOE Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin University, Tianjin, 300072, China 2.bSchool of Architecture, Tianjin University, Tianjin, 300072, China
推荐引用方式 GB/T 7714	Dong, S.a,Zhang, Y.a,b,He, Z.a,et al. Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system[J]. Energy,2018,Vol.144:14.
APA	Dong, S.a,Zhang, Y.a,b,He, Z.a,Deng, N.a,Yu, X.a,&Yao, S.b.(2018).Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system.Energy,Vol.144,14.
MLA	Dong, S.a,et al."Investigation of Support Vector Machine and Back Propagation Artificial Neural Network for performance prediction of the organic Rankine cycle system".Energy Vol.144(2018):14.

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