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Modelling and control of bioprocesses by using artificial neural networks and hybridmodel için kapak resmi
Modelling and control of bioprocesses by using artificial neural networks and hybridmodel
Başlık:
Modelling and control of bioprocesses by using artificial neural networks and hybridmodel
Yazar:
Genç, Ömer Sinan.
Yazar Ek Girişi:
Yayın Bilgileri:
[s.l.]: [s.n.], 2006.
Fiziksel Tanımlama:
xi, 93 leaves.: ill.+ 1 computer laser optical disc.
Genel Not:
Keywords: Neural networks, Hybrid systems
Özet:
The aim of this study is modeling and control of bioprocesses by using neural networks and hybrid model techniques. To investigate the modeling techniques, ethanol fermentation with Saccharomyces Cerevisiae and recombinant Zymomonas mobilis and finally gluconic acid fermentation with Pseudomonas ovalis processes are chosen.Model equations of these applications are obtained from literature. Numeric solutions are done in Matlab by using ODE solver. For neural network modeling a part of the numerical data is used for training of the network.In hybrid modeling technique, model equations which are obtained from literature are first linearized then to constitute the hybrid model linearized solution results are subtracted from numerical results and obtained values are taken as nonlinear part of the process. This nonlinear part is then solved by neural networks and the results of the neural networks are summed with the linearized solution results. This summation results constitute the hybrid model of the process. Hybrid and neural network models are compared. In some of the applications hybrid model gives slightly better results than the neural network model. But in all of the applications, required training time is much more less for hybrid model techniques. Also, it is observed that hybrid model obeys the physical constraints but neural network model solutions sometimes give meaningless outputs.In control application, a method is demonstrated for optimization of a bioprocess by using hybrid model with neural network structure. To demonstrate the optimization technique, a well known fermentation process is chosen from the literature.
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology:Chemical Engineering.

İzmir Institute of Technology:Chemical Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Version.
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