ANFIS modeling of ionic liquids densities

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• 作者：Ali Barati-Harooni^a ; ^{alibarati.2012@yahoo.com} ; Adel Najafi-Marghmaleki^a ; Amir H Mohammadi^b ; ^c ; ^d ; ^{a.h.m@irgcp.fr} ; ^{amir_h_mohammadi@yahoo.com}
• 关键词：Density ; Ionic liquid (IL) ; Adaptive neuro-fuzzy inference system (ANFIS) ; Hybrid method ; Model
• 刊名：Journal of Molecular Liquids
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：224
• 期：part_PA
• 页码：965-975
• 全文大小：1964 K
• 卷排序：224

文摘

An ANFIS model is presented for prediction of density of ionic liquids at various temperatures. A total of 602 density data points for 146 ionic liquids were used for the model development. The predictions of the model are compared with outcomes of known literature correlations. Results show that the developed model accurately predicts the experimental data. The model effectively outperforms literature correlations and presents more accurate and reliable predictions.