DocumentCode :
1669792
Title :
Study on soft sensor for lysine fermentation based on BP neural network
Author :
Hongyi, Li ; Haoming, Zhang ; Yinhua, Wang
Author_Institution :
Suzhou Ind. Park Inst. of Vocational Technol., Suzhou, China
fYear :
2010
Firstpage :
4120
Lastpage :
4124
Abstract :
The key biological parameters (such as germ density, matrix density, product density)are hard to measure real-time online in biological fermentation process. Applications are great limited to the biological fermentation process in the advanced control technology. A BP neural network soft-sensor model is given based on lysine fermentation process in this paper, Experiment and simulation conclusions of lysine key parameters can be measured on-line, and achieve a higher accuracy.
Keywords :
backpropagation; biotechnology; fermentation; neural nets; sensors; BP neural network; biological fermentation process; biological parameter; lysine fermentation; soft sensor; Artificial neural networks; Biological system modeling; Chemicals; MATLAB; Mathematical model; Process control; BP neural network; Biology fermentation; Lysine; Soft-sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5553763
Filename :
5553763
Link To Document :
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