A reinforcement learning-based hybrid modeling framework for bioprocess kinetics identification

Autor: Max R. Mowbray, Chufan Wu, Alexander W. Rogers, Ehecatl A. Del Rio‐Chanona, Dongda Zhang

Publikováno v: Mowbray, M R, Wu, C, Rogers, A W, Rio-Chanona, E A D & Zhang, D 2023, ' A reinforcement learning-based hybrid modeling framework for bioprocess kinetics identification ', Biotechnology and Bioengineering, vol. 120, no. 1, pp. 154-168 . https://doi.org/10.1002/bit.28262

Constructing predictive models to simulate complex bioprocess dynamics, particularly time-varying (i.e., parameters varying over time) and history-dependent (i.e., current kinetics dependent on historical culture conditions) behavior, has been a long

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https://uom.elsevierpure.com/en/publications/137e6d55-792a-447b-94b9-c09484add6fa