Dynamic models for L-histidine fed-batch fermentation by Corynebacterium glutamicum

BioChem - DOS

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- 바이오플라스틱
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- 바이오정밀화학
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논문

Dynamic models for L-histidine fed-batch fermentation by Corynebacterium glutamicum

학술지

Advanced materials research : AMR

저자명

Chen, Ning; Du, Jian Tao; Xie, Xi Xian; Xu, Qing Yang

초록

<P>To predict and control feed batch fermentations of Corynebacterium glutamicun TQ2226 which can produce L-histidine , in this paper , we use a recurrent neural network model(RNNM).The control variables are the limiting substrate and the feeding conditions. The multi-input and multi-output RNNM proposed has seven outputs, nineteen neurons, twelve inputs, in the hidden layer, and global and local feedbacks. The weight update learning algorithm designed is a version of the well known backpropagation through time algorithm directed to the RNNM learning. The RNNM generalization was carried out reproducing a C. glutamicum fermentation not included in the learning process. It attains an error approximation of 1.8%.</P>

발행연도

2010

발행기관

Trans Tech Publications, Ltd.

ISSN

1022-6680

ISSN

1662-8985

권

160

페이지

pp.1749-1755