Journal
SEPARATION SCIENCE AND TECHNOLOGY
Volume 56, Issue 14, Pages 2351-2368Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/01496395.2020.1828460
Keywords
DES; CO(2)solubility; modeling; prediction; artificial intelligence
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This study focuses on modeling the solubility of CO2 in various deep eutectic solvents using artificial intelligent methods, with LSSVM and MPR models identified as robust and precise models for estimating CO2 solubility in these solvents.
The current study deals with modeling of CO(2)solubility in various deep eutectic solvents (DESs). Various artificial intelligent methods including PSO-ANN, PSO-ANFIS, LSSVM, and newly proposed correlation were developed, examined and comparatively evaluated. Comprehensive data were gathered from literature and LSSVM and MPR models were found robust and precise models for estimating CO(2)solubility in DESs.
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