Multiparameter Neural Network Modeling of Facilitated Transport Mixed Matrix Membranes for Carbon Dioxide Removal
Abstract
:1. Introduction
2. Membrane Synthesis, Characterization, and Gas Performance
3. Methodology for ANN Development
4. Results and Discussion
4.1. Effect of Pressure on the Permeance
4.2. ANN Predictability
4.3. Relative Importance of Variables
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Nasir, R.; Suleman, H.; Maqsood, K. Multiparameter Neural Network Modeling of Facilitated Transport Mixed Matrix Membranes for Carbon Dioxide Removal. Membranes 2022, 12, 421. https://doi.org/10.3390/membranes12040421
Nasir R, Suleman H, Maqsood K. Multiparameter Neural Network Modeling of Facilitated Transport Mixed Matrix Membranes for Carbon Dioxide Removal. Membranes. 2022; 12(4):421. https://doi.org/10.3390/membranes12040421
Chicago/Turabian StyleNasir, Rizwan, Humbul Suleman, and Khuram Maqsood. 2022. "Multiparameter Neural Network Modeling of Facilitated Transport Mixed Matrix Membranes for Carbon Dioxide Removal" Membranes 12, no. 4: 421. https://doi.org/10.3390/membranes12040421