creators_name: Patnaik, P R
type: article
datestamp: 2012-01-27 15:08:44
lastmod: 2015-01-12 04:26:07
metadata_visibility: show
title: Preliminary screening of neural network configurations for bioreactor applications
ispublished: pub
subjects: QR
full_text_status: none
note: Copyright of this article belongs to Springer Science.
abstract: 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.
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date: 1996
publication: Biotechnology Techniques
volume: 10
number: 12
publisher: Springer Science
id_number: doi:10.1007/BF00180404
refereed: TRUE
issn: 0951-208X
official_url: http://dx.doi.org/10.1007/BF00180404
related_url_url: http://www.springerlink.com/content/j242748uq512l3q4/
related_url_type: pub
citation:   Patnaik, P R  (1996) Preliminary screening of neural network configurations for bioreactor applications.  Biotechnology Techniques, 10 (12).   ISSN 0951-208X