Probabilistic neural networks using Bayesian decision strategies and a modified Gompertz model for growth phase classification in the batch culture of Bacillus subtilis-Reference-Cited by-同舟云学术

Probabilistic neural networks using Bayesian decision strategies and a modified Gompertz model for growth phase classification in the batch culture of Bacillus subtilis

Published:2001-01 Issue:1 Volume:7 Page:41-48
ISSN:1369-703X
Container-title:Biochemical Engineering Journal
language:en
Short-container-title:Biochemical Engineering Journal

Author:

Simon Laurent,Nazmul Karim M

Publisher

Elsevier BV

Subject

Biomedical Engineering,Environmental Engineering,Bioengineering,Biotechnology

Reference14 articles.

1. Application of an on-line turbidity for the automation of fed-batch cultures;Yamane;Biotechnol. Prog.,1993

2. Acquisition of data from on-line laser turbidity and calculation of some kinetic variables in computer-coupled automated fed-batch culture;Kadotani;J. Ferment. Bioeng.,1995

3. Cell size distribution as a parameter for the predetermination of exponential growth during repeated batch cultivation of CHO cells;Seewoster;Biotechnol. Bioeng.,1997

4. Analysis of the time course of E. coli development;Kolpakova;Bul. Exp. Biol. Med.,1993

5. A mathematical approach toward defining and calculating the duration of the lag phase;Buchanan;Food Microbiol.,1990

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