[HTML][HTML] Investigating 'greyness' of hybrid model for bioprocess predictive modelling
Hybrid modelling combines data-driven and mechanistic modelling, providing a cost-
effective solution to modelling complex biochemical reaction kinetics when the underlying …
effective solution to modelling complex biochemical reaction kinetics when the underlying …
Constructing Time-varying and History-dependent Kinetic Models Via Reinforcement Learning
Mathematical modelling provides a significant contribution to the understanding and design
of chemical and biochemical reaction processes. For instance, for biochemical reaction …
of chemical and biochemical reaction processes. For instance, for biochemical reaction …
Hybrid Modelling Under Uncertainty: Effects of Model Greyness, Data Quality and Data Quantity
Following the exponential rise in computing power in recent decades, modelling has come
to play a pivotal role in process engineering for simulation, optimisation and control. 1–3 …
to play a pivotal role in process engineering for simulation, optimisation and control. 1–3 …
Developing Process Models for y-Linolenic Acid Production By Cunninghamella Echinulata
Z Song - 2023 - search.proquest.com
Modelling plays an increasingly important role in chemical and bioprocesses nowadays and
is widely used for process simulation, optimisation and real-time control. Especially for …
is widely used for process simulation, optimisation and real-time control. Especially for …