A prototype neural network supervised control system for Bacillus thuringiensis fermentations

Qin Zhang, John F. Reid, J. Bruce Litchfield, Jinliang Ren, Shiuan‐Wu ‐W Chang

Research output: Contribution to journalArticlepeer-review

Abstract

This article discusses the development of a prototype neural network‐based supervisory control system for Bacillus thuringiensis fermentations. The input pattern to the neural network included the type of inoculum, operation temperature, pH value, accumulated process time, optical density in fermentation medium, and change in optical density. The output from the neural network was the predicted optical density for the next sampling time. The control system has been implemented in both a computer simulation and a laboratory fermentation experiment with promising results. © 1994 John Wiley & Sons, Inc.

Original languageEnglish (US)
Pages (from-to)483-489
Number of pages7
JournalBiotechnology and bioengineering
Volume43
Issue number6
DOIs
StatePublished - Mar 15 1994
Externally publishedYes

Keywords

  • backpropagation
  • fermentation
  • microbial fermentation control
  • network topology design
  • neural network simulation

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

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