title: Preliminary screening of neural network configurations for bioreactor applications
creator: Patnaik, P R
subject: QR Microbiology
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 
publisher: Springer Science
date: 1996
type: Article
type: PeerReviewed
relation: http://dx.doi.org/10.1007/BF00180404
identifier:   Patnaik, P R  (1996) Preliminary screening of neural network configurations for bioreactor applications.  Biotechnology Techniques, 10 (12).   ISSN 0951-208X     
relation: http://crdd.osdd.net/open/742/