DocumentCode :
1584318
Title :
BP neural-network-based modeling of controlling reaction for fed-batch collagen
Author :
Xing, Wu ; Xiaofeng, Xiang ; Yong, Dan ; Huifang, Xu
Author_Institution :
Coll. of Chem. Eng., Northwest Univ., Xi´´an, China
Volume :
1
fYear :
2011
Firstpage :
53
Lastpage :
55
Abstract :
A control system with the model algorithm of fed-batch collagen reaction based on the BP neural network is set up to control factors in process that ferment Escherichia coli into high-density human-like collagen, predicting controlling procedure. Numerical simulation has shown that this control system not only improved the yields of the target product obviously, but also gets an excellent quality stably.
Keywords :
backpropagation; control engineering computing; fermentation; neural nets; BP neural-network-based modeling; Escherichia coli; control system; fed-batch collagen; high-density human-like collagen; Control systems; Educational institutions; Feeds; Instruments; Predictive models; Process control; Production; BP Neural Network; Control System; Fed-batch Collagen; Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8158-3
Type :
conf
DOI :
10.1109/ICEMI.2011.6037677
Filename :
6037677
Link To Document :
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