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