Hybrid modelling of biotechnological processes using neural networks

Chen, L B and Bernard, O and Bastain, G and Angelov, Plamen (2000) Hybrid modelling of biotechnological processes using neural networks. Control Engineering Practice, 8 (7). pp. 821-827. ISSN 0967-0661

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The hybrid modelling approach for bioprocesses combines a neural network representation of the reaction rates with a mass–balance description of the reactor. A procedure for the identification of hybrid models is proposed and illustrated with an experimental case-study. The key feature is a state transformation which allows to identify separately the kinetic models of the reaction rates even if they occur simultaneously in the reactor. (c) Elsevier

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Journal Article
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Control Engineering Practice
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Cited by over 14 other papers. The final, definitive version of this article has been published in the Journal, Control Engineering Practice 8 (7), 2000, © ELSEVIER.
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09 Jan 2008 09:26
Last Modified:
21 Nov 2022 20:46