Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems

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Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems. / Misikov, G. Kh; Petrov, A. V.; Toikka, A. M.

In: Theoretical Foundations of Chemical Engineering, Vol. 56, No. 2, 01.04.2022, p. 200-207.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{a267d8f92774477d8129563768c44025,

title = "Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems",

abstract = "Abstract: The potential use of artificial neural networks to describe liquid–liquid phase equilibria in ternary systems under polythermal conditions is considered. The study was carried out on the example of ten ternary systems, including binary splitting subsystems of water–esters of carboxylic acids, which determines the phase splitting in ternary systems (the third component is alcohol or carboxylic acid). The features of the selected network architecture are presented, and the results, with a critical assessment of the accuracy of the calculations, are given in the tables. Approximations based on artificial neural networks are compared with calculations based on the non-random two-liquid (NRTL) model.",

keywords = "artificial neural networks, liquid–liquid equilibrium, modeling, NRTL model, ternary systems",

author = "Misikov, {G. Kh} and Petrov, {A. V.} and Toikka, {A. M.}",

note = "Misikov, G.K., Petrov, A.V. & Toikka, A.M. Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems. Theor Found Chem Eng 56, 200–207 (2022). https://doi.org/10.1134/S0040579522020129",

year = "2022",

month = apr,

day = "1",

doi = "10.1134/s0040579522020129",

language = "English",

volume = "56",

pages = "200--207",

journal = "Theoretical Foundations of Chemical Engineering",

issn = "0040-5795",

publisher = "МАИК {"}Наука/Интерпериодика{"}",

number = "2",

}

RIS

TY - JOUR

T1 - Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems

AU - Misikov, G. Kh

AU - Petrov, A. V.

AU - Toikka, A. M.

N1 - Misikov, G.K., Petrov, A.V. & Toikka, A.M. Application of Artificial Neural Networks for the Analysis of Data on Liquid–Liquid Equilibrium in Three-Component Systems. Theor Found Chem Eng 56, 200–207 (2022). https://doi.org/10.1134/S0040579522020129

PY - 2022/4/1

Y1 - 2022/4/1

N2 - Abstract: The potential use of artificial neural networks to describe liquid–liquid phase equilibria in ternary systems under polythermal conditions is considered. The study was carried out on the example of ten ternary systems, including binary splitting subsystems of water–esters of carboxylic acids, which determines the phase splitting in ternary systems (the third component is alcohol or carboxylic acid). The features of the selected network architecture are presented, and the results, with a critical assessment of the accuracy of the calculations, are given in the tables. Approximations based on artificial neural networks are compared with calculations based on the non-random two-liquid (NRTL) model.

AB - Abstract: The potential use of artificial neural networks to describe liquid–liquid phase equilibria in ternary systems under polythermal conditions is considered. The study was carried out on the example of ten ternary systems, including binary splitting subsystems of water–esters of carboxylic acids, which determines the phase splitting in ternary systems (the third component is alcohol or carboxylic acid). The features of the selected network architecture are presented, and the results, with a critical assessment of the accuracy of the calculations, are given in the tables. Approximations based on artificial neural networks are compared with calculations based on the non-random two-liquid (NRTL) model.

KW - artificial neural networks

KW - liquid–liquid equilibrium

KW - modeling

KW - NRTL model

KW - ternary systems

UR - http://www.scopus.com/inward/record.url?scp=85130948542&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/513b1157-a97f-3090-8918-8ce5b456e951/

U2 - 10.1134/s0040579522020129

DO - 10.1134/s0040579522020129

M3 - Article

AN - SCOPUS:85130948542

VL - 56

SP - 200

EP - 207

JO - Theoretical Foundations of Chemical Engineering

JF - Theoretical Foundations of Chemical Engineering

SN - 0040-5795

IS - 2

ER -

ID: 96220036