CAS OpenIR  > 多相复杂系统国家重点实验室
Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms
Zhao, Yongsheng1,2; Zhang, Xiangping1; Deng, Liyuan3; Zhang, Suojiang1
2016-09-02
发表期刊COMPUTERS & CHEMICAL ENGINEERING
ISSN0098-1354
卷号92期号:SEP页码:37-42
摘要

In this work, two models, one integrating the fragment contribution-corresponding states (FC-CS) method with multiple linear regression (MLR) algorithm and another. With support vector machine (SVM) algorithm, are proposed to predict the viscosity of imidazolium-based ionic liquids (ILs). The FC-CS method is applied to calculate the pseudo-critical volume and compressibility factor (V-c and Z(c)) as well as the boiling point temperature (T-b) which are employed to predict the viscosity with the MLR and SVM algorithms. A large data set of 1079 experimental data points of 45 imidazolium-based ILs covering a wide range of pressure and temperature is applied to validate the two models. The average absolute relative deviation (AARD) of the entire data set of the MLR and SVM is 24.2% and 3.95%, respectively. The nonlinear model developed by the SVM algorithm is much better than the linear model built by the MLR, which indicates the SVM algorithm is more reliable in the prediction of the viscosity of imidazolium-based ILs. (C) 2016 Elsevier Ltd. All rights reserved.

关键词Ionic Liquids Viscosity Support Vector Machine (Svm) Multiple Linear Regression (Mlr) Fragment Contribution-corresponding States (Fc-cs) Method
文章类型Article
WOS标题词Science & Technology ; Technology
DOI10.1016/j.compchemeng.2016.04.035
收录类别SCI
语种英语
关键词[WOS]SUPPORT VECTOR MACHINE ; DESIGN ; MODELS ; QSPR ; CONDUCTIVITIES ; SOLVENTS ; CAPTURE ; FUTURE
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Interdisciplinary Applications ; Engineering, Chemical
项目资助者National Basic Research Program of China(2015CB251403) ; National Natural Science Fund for Distinguished Young Scholars(21425625) ; key program of Beijing Municipal Natural Science Foundation(2141003) ; National Natural Science Foundation of China(21376242)
WOS记录号WOS:000380513500003
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ipe.ac.cn/handle/122111/21429
专题多相复杂系统国家重点实验室
作者单位1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing Key Lab Ion Liquids Clean Proc, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Chem & Chem Engn, Beijing 100049, Peoples R China
3.Norwegian Univ Sci & Technol, Dept Chem Engn, NO-7491 Trondheim, Norway
推荐引用方式
GB/T 7714
Zhao, Yongsheng,Zhang, Xiangping,Deng, Liyuan,et al. Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms[J]. COMPUTERS & CHEMICAL ENGINEERING,2016,92(SEP):37-42.
APA Zhao, Yongsheng,Zhang, Xiangping,Deng, Liyuan,&Zhang, Suojiang.(2016).Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms.COMPUTERS & CHEMICAL ENGINEERING,92(SEP),37-42.
MLA Zhao, Yongsheng,et al."Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms".COMPUTERS & CHEMICAL ENGINEERING 92.SEP(2016):37-42.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Prediction of viscos(822KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, Yongsheng]的文章
[Zhang, Xiangping]的文章
[Deng, Liyuan]的文章
百度学术
百度学术中相似的文章
[Zhao, Yongsheng]的文章
[Zhang, Xiangping]的文章
[Deng, Liyuan]的文章
必应学术
必应学术中相似的文章
[Zhao, Yongsheng]的文章
[Zhang, Xiangping]的文章
[Deng, Liyuan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。