Applying neural networks as software sensors for enzyme engineering |
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Authors: | Linko S Zhu Y H Linko P |
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Affiliation: | Laboratory of Bioprocess Engineering, Helsinki University of Technology, PO Box 6100, FIN-02015 HUT, Finland. |
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Abstract: | The on-line control of enzyme-production processes is difficult, owing to the uncertainties typical of biological systems and to the lack of suitable on-line sensors for key process variables. For example, intelligent methods to predict the end point of fermentation could be of great economic value. Computer-assisted control based on artificial-neural-network models offers a novel solution in such situations. Well-trained feedforward-backpropagation neural networks can be used as software sensors in enzyme-process control; their performance can be affected by a number of factors. |
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