Physics-Constrained Deep Learning for Isothermal CSTR
This research study investigates the approach of using physics-constrained deep learning in modelling isothermal continuous stirred-tank reactor (CSTR) to address the challenges in its current process control and optimisation. An inaccurate system identification affects prediction and consequently d...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://scholars.utp.edu.my/id/eprint/34085/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140256847&doi=10.1007%2f978-3-031-04028-3_2&partnerID=40&md5=57bc2fe73be90b9d898ffe195e63914a |
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