ICAR Research Data Repository for Knowledge Management
Preliminary screening of neural network configurations for bioreactor applications
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Preliminary screening of neural network configurations for bioreactor applications
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| Creator |
Patnaik, P R
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| Subject |
QR Microbiology
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| Description |
A methodology and a computer code have been devised to perform a preliminary analysis of six types of neural networks commonly employed for bioreactor problems. Both static and time-varying data can be analysed, and the values of the parameters and/or sampling times can be chosen according to the system behavior. The results help to select a suitable network configuration for detailed training and application. This is illustrated for a fed-batch fermentation to produce recombinant -galactosidase. Fulltext Preview |
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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/BF00180404
http://crdd.osdd.net/open/742/ |
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| Identifier |
Patnaik, P R (1996) Preliminary screening of neural network configurations for bioreactor applications. Biotechnology Techniques, 10 (12). ISSN 0951-208X
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