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Titlebook: Computational Intelligence Techniques for Bioprocess Modelling, Supervision and Control; Maria Carmo Nicoletti,Lakhmi C. Jain Book 2009 Sp

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Alexis Bavencoffe,Michael Xi Zhusensitivity to disturbances occurring between batches and within batches. In order to ensure consistent product quality by eliminating the influence of process disturbances it is very important to consider implementation of monitoring and control and thereby significantly improve the economic impact
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Roberto Davalli,Giovanni Lo Scoccoareas to access the potential of Artificial Neural Networks (ANNs) for this task. The FerMoANN is tested and validated using two fermentation processes, an . recombinant protein production and the production of a secreted protein with . in fed-batch reactors. The application to these two case studie
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Monitoring of Bioprocesses: Mechanistic and Data-Driven Approaches,onent concentrations are of great importance for monitoring cell cultures. Although some hardware sensors are readily available, they often have several drawbacks, including purchase and maintenance costs, sample destruction, discrete-time measurements (instead of continuous ones), processing delay,
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