Modelling of batch fermentation and estimation of state variables using self-organizing feature maps

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Title
Modelling of batch fermentation and estimation of state variables using self-organizing feature maps
Author(s)
Myeong Seok Park; Je Hwan Chang; Yong Keun Chang; Bong Hyun Chung
Bibliographic Citation
Biotechnology Techniques, vol. 8, no. 11, pp. 779-782
Publication Year
1994
Abstract
A serf-organizing feature map was used for modelling of batch yeast cultures. The model was constructed by training the neural network with experimental data of the specific rates. Estimates of state variables were obtained from the neural network model and differential mass balance equations via integration. They were compared with the experimental data. The neural network model showed a good modelling accuracy and interpolation capability.
ISSN
0951-208X
Publisher
Springer
DOI
http://dx.doi.org/10.1007/BF00152883
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
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