ICAR Research Data Repository for Knowledge Management
Neural simulation of an unsteady state continuous recombinant fermentation with imperfect mixing.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Neural simulation of an unsteady state continuous recombinant fermentation with imperfect mixing.
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| Creator |
Patnaik, P R
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| Subject |
QR Microbiology
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| Description |
A continuous fermentation based on a recombinant Escherichia coli strain producing tryptophan synthetase has been simulated by a back-propagation neural network. Data for the network were generated through known kinetics applied to a reactor model with an adjustable degree of macromixing of the broth. A network with just one hidden layer performed satisfactorily for both poor and good macromixing. The best performance was at an intermediate level of mixing, in the region of maximum productivity of the recombinant protein.
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| Publisher |
Springer Science
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| Date |
1996
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| Type |
Article
PeerReviewed |
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| Relation |
http://dx.doi.org/10.1007/BF00157364
http://crdd.osdd.net/open/744/ |
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| Identifier |
Patnaik, P R (1996) Neural simulation of an unsteady state continuous recombinant fermentation with imperfect mixing. Biotechnology Techniques, 10 (8). pp. 573-578. ISSN 0951-208X
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