Naslov
Hybrid modeling approach to on-line estimation of yeast biomass concentration in industrial bioreactor

Autori
Beluhan, Damir ; Beluhan, Sunčica

Izvornik
Biotechnology Letters (0141-5492) 22 (2000), 8; 631-635

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
artificial neural network; hybrid state; industrial yeast production; neuro-fuzzy expert

Sažetak
The industrial fed-batch yeast cultivation process has been divided into four different metabolic phases (adaptation, carbon limited, oxygen limited and maturation) by a neuro-fuzzy classification model that consists of 4 applied linguistic rules on 2 state variables: oxygen uptake rate and liquid volume. The membership functions have been automatically adapted by this fuzzy perceptron, i.e., by a supervised learning algorithm initialized by prior operator's knowledge. Process compartmentalization has made easier and more realistic a subsequent state estimation of the biomass concentration with separate artificial neural networks combined with balance equations. Static networks with local recurrent memory structures were used, and the inputs were standard cultivation state variables: respiratory quotient, molasses feed rate, ethanol concentration, etc. This hybrid approach is generally applicable to state estimation or prediction when different sources of process information and knowledge have to be integrated.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Prehrambena tehnologija

POVEZANOST RADA