Application of a Single Multilayer Perceptron Model to Predict the Solubility of CO2 in Different Ionic Liquids for Gas Removal Processes
Autor
Fierro, Elías N.
Faúndez, Claudio A.
Muñoz, Ariana S.
Cerda, Patricio I.
Resumen
In this work, 2099 experimental data of binary systems composed of CO2 and ionic liquids are studied to predict solubility using a multilayer perceptron. The dataset includes 33 different types of ionic liquids over a wide range of temperatures, pressures, and solubilities. The main objective of this work is to propose a procedure for the prediction of CO2 solubility in ionic liquids by establishing four stages to determine the model parameters: (1) selection of the learning algorithm, (2) optimization of the first hidden layer, (3) optimization of the second hidden layer, and (4) selection of the input combination. In this study, a bound is set on the number of model parameters: the number of model parameters must be less than the amount of predicted data. Eight different learning algorithms with (4,m,n,1)-type hidden two-layer architectures (m = 2, 4, …, 10 and n = 2, 3, …, 10) are studied, and the artificial neural network is trained with three input combinations with three combinations of thermodynamic variables such as temperature (T), pressure (P), critical temperature (Tc), critical pressure, the critical compressibility factor (Zc), and the acentric factor (ω). The results show that the 4-6-8-1 architecture with the input combination T-P-Tc-Pc and the Levenberg–Marquard learning algorithm is a very acceptable and simple model (95 parameters) with the best prediction and a maximum absolute deviation close to 10%. © 2022 by the authors.
Colecciones
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Article
Influence of thermodynamically inconsistent data on modeling the solubilities of refrigerants in ionic liquids using an artificial neural network (2021)
Fierro, Elías N.; Faúndez, Claudio Alonso; Muñoz, Ariana S. (Elsevier B.V., 2021-09-01)In this work, a general thermodynamic consistency test is applied to analyze phase equilibrium data (PTx) for binary refrigerant and ionic liquid mixtures. The Valderrama-Patel-Teja (VPT) equation of state and the Kwak and ... -
Review
The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning (2020)
Huff T.J.; Ludwig P.E.; Zuniga J.M. (Taylor and Francis Ltd, 2018) -
Article
Complex network study of the immune epitope database for parasitic organisms (2020)
Vázquez-Prieto S.; Paniagua E.; Solana H.; Ubeira F.M. (Bentham Science Publishers B.V., 2017)