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A prototype neural network supervised control system for Bacillus thuringiensis fermentations
Author(s) -
Zhang Qin,
Reid John F.,
Bruce Litchfield J.,
Ren Jinliang,
Chang ShiuanWu
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.260430608
Subject(s) - bacillus thuringiensis , artificial neural network , fermentation , optical density , biological system , control (management) , computer science , artificial intelligence , microbiology and biotechnology , biology , engineering , food science , bacteria , physics , genetics , optics
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.