Application of bayesian regularized artificial neural networks to predict pour point of crude oil treated by pour point depressant | |
Hu, Kai; Zhang, Fan; Wang, Shengjie; Zhang, Yuyao; Zhang, Yaqin; Liu, Kai; Gao, Qian; Meng, Xiaoyu; Meng, Jiayan | |
刊名 | PETROLEUM SCIENCE AND TECHNOLOGY |
2017 | |
卷号 | 35页码:1349-1354 |
关键词 | BRANN network performance pour point PPD-treatment crude oil sensitivity analysis |
ISSN号 | 1091-6466 |
DOI | 10.1080/10916466.2017.1330346 |
URL标识 | 查看原文 |
收录类别 | SCIE ; EI |
WOS记录号 | WOS:000414216700006 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6270718 |
专题 | 中国石油大学(北京) |
推荐引用方式 GB/T 7714 | Hu, Kai,Zhang, Fan,Wang, Shengjie,et al. Application of bayesian regularized artificial neural networks to predict pour point of crude oil treated by pour point depressant[J]. PETROLEUM SCIENCE AND TECHNOLOGY,2017,35:1349-1354. |
APA | Hu, Kai.,Zhang, Fan.,Wang, Shengjie.,Zhang, Yuyao.,Zhang, Yaqin.,...&Meng, Jiayan.(2017).Application of bayesian regularized artificial neural networks to predict pour point of crude oil treated by pour point depressant.PETROLEUM SCIENCE AND TECHNOLOGY,35,1349-1354. |
MLA | Hu, Kai,et al."Application of bayesian regularized artificial neural networks to predict pour point of crude oil treated by pour point depressant".PETROLEUM SCIENCE AND TECHNOLOGY 35(2017):1349-1354. |
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