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Artificial neural network based experimental design procedure for enhancing fermentation development
Author(s) -
Glassey J.,
Montague G. A.,
Ward A. C.,
Kara B. V.
Publication year - 1994
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260440402
Subject(s) - artificial neural network , biochemical engineering , fermentation , chemistry , computer science , biological system , process engineering , microbiology and biotechnology , artificial intelligence , biology , engineering , food science
Conventional experimental design techniques are available to assist in the optimization of fermentation processes, but due to the nonlinearities in the bioprocess, they are limited in their effectiveness. This problem is further complicated with recombinant systems as a result of the additional complexities of the process. This article describes a general strategy using artificial neural networks as an alternative approach to fermentation process development laboratory are presented for the neural network based procedures. © 1994 John Wiley & Sons, Inc.