Optimization and design of machine learning computational technique for prediction of physical separation process
Machine learning (ML) methods were developed and optimized for description and understanding a physical separation process. Indeed, this work indicates application of machine learning technique for a real physical system and optimization of process parameters to achieve the target. A bunch of datase...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Elsevier B.V
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32773/1/Optimization%20and%20design%20of%20machine%20learning%20computational%20technique%20for%20prediction%20of%20physical%20separation%20process.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32773/2/Optimization%20and%20design%20of%20machine%20learning%20computational%20technique%20for%20prediction%20of%20physical%20separation%20process.pdf https://eprints.ums.edu.my/id/eprint/32773/ https://www.sciencedirect.com/science/article/pii/S187853522100695X https://doi.org/10.1016/j.arabjc.2021.103680 |
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https://eprints.ums.edu.my/id/eprint/32773/1/Optimization%20and%20design%20of%20machine%20learning%20computational%20technique%20for%20prediction%20of%20physical%20separation%20process.ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/32773/2/Optimization%20and%20design%20of%20machine%20learning%20computational%20technique%20for%20prediction%20of%20physical%20separation%20process.pdf
https://eprints.ums.edu.my/id/eprint/32773/
https://www.sciencedirect.com/science/article/pii/S187853522100695X
https://doi.org/10.1016/j.arabjc.2021.103680