Dynamic hybrid neural network model of an industrial fed-batch fermentation process to produce foreign protein

2007 ◽  
Vol 31 (3) ◽  
pp. 163-170 ◽  
Author(s):  
Siris Ö. Laursen ◽  
Daniel Webb ◽  
W. Fred Ramirez
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Foreign Protein ◽  
Fed Batch ◽  
Hybrid Neural Network ◽  
Fed Batch Fermentation ◽  
Dynamic Hybrid

A Recurrent Neural Network Model of the B.t. Fed-Batch Fermentation Process 1

2001 ◽  
Vol 34 (5) ◽  
pp. 385-390
Author(s):  
Barrera-Cortés J. ◽  
Baruch I. ◽  
Valdez-Castro L. ◽  
Vázquez-Cervantes V.
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Recurrent Neural Network ◽  
Neural Network Model ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Fed Batch ◽  
Fed Batch Fermentation

Hybrid neural network model of an industrial ethanol fermentation process considering the effect of temperature

2007 ◽  
Vol 137-140 (1-12) ◽  
pp. 817-833 ◽  
Author(s):  
Ivana C. C. Mantovanelli ◽  
Elmer Ccopa Rivera ◽  
Aline C. da Costa ◽  
Rubens Maciel Filho
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Ethanol Fermentation ◽  
Fermentation Process ◽  
Effect Of Temperature ◽  
Hybrid Neural Network

scholarly journals Artificial neural network model and fuzzy logic control of dissolved oxygen in a bioreactor

2020 ◽  
Vol 17 (3) ◽  
pp. 1289
Author(s):  
Nor Hana Mamat ◽  
Samsul Bahari Mohd Noor ◽  
Laxshan A/L Ramar ◽  
Azura Che Soh ◽  
Farah Saleena Taip ◽  
...  
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Dissolved Oxygen ◽  
Network Model ◽  
Neural Network Model ◽  
Fermentation Process ◽  
Fuzzy Logic Controller ◽  
Rbf Neural Network ◽  
Aeration Rate ◽  
Process Data

In a fermentation process, dissolved oxygen is the one of the key process variables that needs to be controlled because of the effect they have on the product quality. In a penicillin production, dissolved oxygen concentration influenced biomass concentration. In this paper, multilayer perceptron neural network (MLP) and Radial Basis Function (RBF) neural network is used in modeling penicillin fermentation process. Process data from an industrial scale fed-batch bioreactor is used in developing the models with dissolved oxygen and penicillin concentration as the outputs. RBF neural network model gives better accuracy than MLP neural network. The model is further used in fuzzy logic controller design to simulate control of dissolved oxygen by manipulation of aeration rate.  Simulation result shows that the fuzzy logic controller can control the dissolved oxygen based on the given profile.

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