DocumentCode
2834902
Title
Neural network modeling of Hydantoinase production
Author
Kishore, Venkata Rama Saran ; Kishore, Ravi ; Doble, Mukesh
Author_Institution
Centre for Biotechnol., Anna Univ., Chennai, India
fYear
2004
fDate
2004
Firstpage
456
Lastpage
459
Abstract
This paper describes the use of a back propagation neural network modeling technique for the prediction and forecasting of production of Hydantoinase in a fed batch fermentor. Forecasting biomass production is useful for real time estimation as well as for on-line soft sensor process control. This artificial neural network model was found to be superior to statistical nonlinear regression model. Several transfer functions were tried to arrive at the best set of results.
Keywords
backpropagation; biotechnology; enzymes; fermentation; neural nets; transfer functions; artificial neural network model; back propagation; biomass production; fed batch fermentor; hydantoinase production; online soft sensor process control; statistical nonlinear regression model; transfer functions; Amino acids; Artificial neural networks; Biochemistry; Biomass; Capacitive sensors; MIMO; Neural networks; Predictive models; Production; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensing and Information Processing, 2004. Proceedings of International Conference on
Print_ISBN
0-7803-8243-9
Type
conf
DOI
10.1109/ICISIP.2004.1287700
Filename
1287700
Link To Document