A GEP based model for prediction of densities of ionic liquids

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• 作者：Adel Najafi-Marghmaleki^a ; Afshin Tatar^b ; Ali Barati-Harooni^a ; ^{alibarati.2012@yahoo.com} ; Amir H Mohammadi^c ; ^d ; ^e ; ^{a.h.m@irgcp.fr} ; ^{amir_h_mohammadi@yahoo.com}
• 关键词：Ionic liquid (IL) ; Density ; Gene expression programming (GEP) ; Model ; Data
• 刊名：Journal of Molecular Liquids
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：227
• 期：Complete
• 页码：373-385
• 全文大小：2205 K
• 卷排序：227

文摘

We have developed a GEP model for prediction of density values of 146 different ionic liquids. The input parameters of the model are temperature, Mw, Tb, Pc, Vc, and w of IL. The developed model is capable of estimating target density data with an acceptable accuracy. The accuracy of the model is checked using statistical and graphical techniques. The proposed model is effectively superior to other methods and exhibit higher accuracy and reliability.