Prediction and classification of different phases in a fermentation using neural networks

Laurent Simon, M. Nazmul Karim, Amanda Schreiweis

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Neural Networks were developed to identify different phases in the growth cycle of a recombinant strain of Bacillus subtilis. The network performance was enhanced by adding the first and second derivatives of the cultivation sample absorbance. The new architecture was then coupled to a Jordan network with locally recurrent processing elements in order to forecast the stages of the fermentation based on data collected during the first 5 hours.

Original languageEnglish (US)
Pages (from-to)301-304
Number of pages4
JournalBiotechnology Techniques
Volume12
Issue number4
DOIs
StatePublished - 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Applied Microbiology and Biotechnology

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