Neural state estimation and prediction in amino acid fermentation

On-line control of amino acid fermentations is complicated by uncertainties typical of biological processes and by difficulties in real-time monitoring of key process variables. Lysine is an essential amino acid in human nutrition, and also widely used in animal feed formulations. The paper discusse...

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Bibliographic Details
Published in:Biotechnology techniques 1995-08, Vol.9 (8), p.607-612
Main Authors: LINKO, S, RAJALAHTI, T, ZHU, Y.-H
Format: Article
Language:English
Subjects:
Biological and medical sciences
Biotechnology
Fundamental and applied biological sciences. Psychology
Methods. Procedures. Technologies
Microbial engineering. Fermentation and microbial culture technology
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Summary:On-line control of amino acid fermentations is complicated by uncertainties typical of biological processes and by difficulties in real-time monitoring of key process variables. Lysine is an essential amino acid in human nutrition, and also widely used in animal feed formulations. The paper discusses the construction and application of feed-forward, back-propagation neural networks as software 'sensors' in state estimation, and multi-step ahead prediction of produced lysine and consumed sugar. Neural networks were programmed in MS Visual C++ for Windows for implementation in a PC, with a userfriendly interface for convenience and ease of operation. It is demonstrated that a well trained neural network of optimal architecture can be successfully used in control of amino acid production.
ISSN:0951-208X
1573-6784
DOI:10.1007/BF00152453