Literature DB >> 18618773

Artificial neural network based experimental design procedure for enhancing fermentation development.

J Glassey1, G A Montague, A C Ward, B V Kara.   

Abstract

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. (c) 1994 John Wiley & Sons, Inc.

Year:  1994        PMID: 18618773     DOI: 10.1002/bit.260440402

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  1 in total

1.  On-line biomass estimation in biosurfactant production process by Candida lipolytica UCP 988.

Authors:  Clarissa Daisy da Costa Albuquerque; Galba Maria de Campos-Takaki; Ana Maria Frattini Fileti
Journal:  J Ind Microbiol Biotechnol       Date:  2008-09-26       Impact factor: 3.346

  1 in total

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