Abstract
To identify Saccharomyces cereviseae fed-batch fermentation process a differential (dynamic in continuous time) neural network (DNN) is suggested. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.
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