Abstract
To identify a Saccharomyces cerevisiae fed-batch fermentation process, it is suggested that a differential (dynamic in continuous time) neural network (DNN) be implemented. A priori information on the dynamic equations and their parameters is not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (six neurons) is shown to have a high capability of identifying this process (to reproduce the input–output relation) after several working hours of learning.
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Cabrera, A., Poznyak, A., Poznyak, T. et al. Identification of a fed-batch fermentation process: comparison of computational and laboratory experiments. Bioprocess Biosyst Eng 24, 319–327 (2002). https://doi.org/10.1007/s00449-001-273-6
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DOI: https://doi.org/10.1007/s00449-001-273-6