Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms
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Yongsheng Zhao | Xiangping Zhang | Liyuan Deng | Suojiang Zhang | Xiangping Zhang | Suojiang Zhang | Liyuan Deng | Yongsheng Zhao
[1] João A. P. Coutinho,et al. Group Contribution Methods for the Prediction of Thermophysical and Transport Properties of Ionic Liquids , 2009 .
[2] Xiangping Zhang,et al. A quantitative prediction of the viscosity of ionic liquids using S(σ-profile) molecular descriptors. , 2015, Physical chemistry chemical physics : PCCP.
[3] K. R. Seddon,et al. Ionic liquids: a taste of the future. , 2003, Nature materials.
[4] G Marcou,et al. In silico design of new ionic liquids based on quantitative structure-property relationship models of ionic liquid viscosity. , 2011, The journal of physical chemistry. B.
[5] Haifeng Dong,et al. A new fragment contribution‐corresponding states method for physicochemical properties prediction of ionic liquids , 2013 .
[6] Jens Sadowski,et al. Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification , 2003, J. Chem. Inf. Comput. Sci..
[7] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[8] Farhad Gharagheizi,et al. Predictive Quantitative Structure–Property Relationship Model for the Estimation of Ionic Liquid Viscosity , 2012 .
[9] K. Yamuna Rani,et al. REPRESENTATION OF IONIC LIQUID VISCOSITY-TEMPERATURE DATA BY GENERALIZED CORRELATIONS AND AN ARTIFICIAL NEURAL NETWORK (ANN) MODEL , 2013 .
[10] David Rooney,et al. Thermophysical Properties of Ionic Liquids , 2009 .
[11] Robin D. Rogers,et al. Ionic Liquids--Solvents of the Future? , 2003, Science.
[12] Haifeng Dong,et al. Carbon capture with ionic liquids: overview and progress , 2012 .
[13] R. Reid,et al. The Properties of Gases and Liquids , 1977 .
[14] N. Draper,et al. Applied Regression Analysis , 1966 .
[15] J. Coutinho,et al. A group contribution method for viscosity estimation of ionic liquids , 2008 .
[16] Haifeng Dong,et al. Thermodynamic Modeling and Assessment of Ionic Liquid-Based CO2 Capture Processes , 2014 .
[17] Farhad Gharagheizi,et al. Development of a group contribution method for determination of viscosity of ionic liquids at atmospheric pressure , 2012 .
[18] Cinzia Chiappe,et al. QSPR correlation for conductivities and viscosities of low‐temperature melting ionic liquids , 2008 .
[19] Ulf Norinder,et al. Support vector machine models in drug design: applications to drug transport processes and QSAR using simplex optimisations and variable selection , 2003, Neurocomputing.
[20] Haifeng Dong,et al. New models for predicting thermophysical properties of ionic liquid mixtures. , 2015, Physical chemistry chemical physics : PCCP.
[21] H. -. Wang,et al. A high correlate and simplified QSPR for viscosity of imidazolium-based ionic liquids , 2013 .
[22] Mancang Liu,et al. Prediction of ozone tropospheric degradation rate constants by projection pursuit regression. , 2007, Analytica chimica acta.
[23] Guangren Yu,et al. Data and QSPR study for viscosity of imidazolium-based ionic liquids , 2011 .
[24] Thorsten Joachims,et al. Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.
[25] John Fox,et al. Applied Regression Analysis and Generalized Linear Models , 2008 .
[26] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[27] Hiroshi Yamamoto,et al. Computer-aided reverse design for ionic liquids by QSPR using descriptors of group contribution type for ionic conductivities and viscosities , 2007 .
[28] T. Welton. Room-Temperature Ionic Liquids. Solvents for Synthesis and Catalysis. , 1999, Chemical reviews.
[29] Xiangping Zhang,et al. Toxicity of ionic liquids: database and prediction via quantitative structure-activity relationship method. , 2014, Journal of hazardous materials.
[30] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[31] Peisheng Ma,et al. Estimation of liquid viscosity of pure compounds at different temperatures by a corresponding-states group-contribution method , 2002 .