One of the difficulties encountered in control and optimization of bioprocesses is the lack of reliable on-line sensors, which can measure the key processes' state variables. This chapter assesses the suitability of using RNNs for on-line biomass estimation in fed-batch fermentation processes. The proposed neural network sensor only requires the DO, feed rate and volume to be measured. The results show that RNNs are a powerful tool for implementing an on-line biomass softsensor in experimental fermentations.
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