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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