NEW METHOD BASED ON NEURO-FUZZY SYSTEM AND PSO ALGORITHM FOR ESTIMATING PHASE EQUILIBRIA PROPERTIES

Scientific paper

Authors

  • Abdallah Abdallah El Hadj Faculty of Science, University Saad Dahleb of Blida 1, Blida, Algeria and Laboratory of BioMaterial and transfer Phenomena (LBMPT), University of Medea, Medea, Algeria
  • Salah Hanini Laboratory of BioMaterial and transfer Phenomena (LBMPT), University of Medea, Medea, Algeria
  • Maamar Laidi Laboratory of BioMaterial and transfer Phenomena (LBMPT), University of Medea, Medea, Algeria

DOI:

https://doi.org/10.2298/CICEQ201104024A

Keywords:

Modeling, ANFIS, Artificial neural networks, Critical properties, Particle swarm optimization

Abstract

The subject of this work is to propose a new method based on the ANFIS system and PSO algorithm to conceive a model for estimating the solubility of solid drugs in supercritical CO2 (sc-CO2). The high nonlinear process was modeled by the neuro-fuzzy approach (NFS). The PSO algorithm was used for two purposes: replacing the standard backpropagation in training the NFS and optimizing the process. The validation strategy has been carried out using a linear regression analysis of the predicted versus experimental outputs. The ANFIS approach is compared to the ANN in terms of accuracy. Statistical analysis of the predictability of the optimized model trained with a PSO algorithm (ANFIS-PSO) shows a better  agreement with the reference data than the ANN method. Furthermore, the comparison in terms of the AARD deviation (%) between the predicted results, the results predicted by the density-based models, and a set of equations of state demonstrates that the ANFIS-PSO model correlates far better with the solubility of the solid drugs in scCO2. A control strategy was also developed for the first time in the field of phase equilibrium by using the neuro-fuzzy inverse approach (ANFISi) to estimate pure component properties from the solubility data without passing through the GCM methods.

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Published

09.07.2021 — Updated on 04.05.2022

Issue

Vol. 28 No. 2 (2022)

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Articles

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Copyright (c) 2022 Abdallah Abdallah El Hadj, Maamar Laidi , Salah Hanini

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How to Cite

NEW METHOD BASED ON NEURO-FUZZY SYSTEM AND PSO ALGORITHM FOR ESTIMATING PHASE EQUILIBRIA PROPERTIES: Scientific paper. (2022). Chemical Industry & Chemical Engineering Quarterly, 28(2), 141-150. https://doi.org/10.2298/CICEQ201104024A

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