Title: Intelligent optimisation of batch fermentations' initial conditions

Authors: Petia Koprinkova-Hristova, Georgi Kostov, Mihail Angelov, Petar Pandzharov

Addresses: Institute of Control and System Research, Bulgarian Academy of Sciences, Akad. G. Bonchev Str. Bl.2, Sofia – 1113, Bulgaria. ' Department of Biotechnology, University of Food Technologies, Maritza Boulevard 26, Plovdiv – 4000, Bulgaria. ' Department of Biotechnology, University of Food Technologies, Maritza Boulevard 26, Plovdiv – 4000, Bulgaria. ' Department of Biotechnology, University of Food Technologies, Maritza Boulevard 26, Plovdiv – 4000, Bulgaria

Abstract: The paper considers the problems of initial conditions optimisation for a class of biotechnological processes called batch fermentations. The method called backpropagation through time of utility function is used as optimisation procedure and neural network model of the process under consideration is used for derivatives| calculation. The developed procedure was applied to pre-fermentation process for yogurt starter cultures cultivation. The simulation results confirm experimental experience and expert|s opinion on the possible optimal decisions.

Keywords: intelligent optimisation; neural networks; backpropagation through time; response surface methodology; RSM; batch fermentation; initial conditions; biotechnology; yogurt starter cultures; culture cultivation; simulation.

DOI: 10.1504/IJRIS.2010.036876

International Journal of Reasoning-based Intelligent Systems, 2010 Vol.2 No.3/4, pp.285 - 292

Published online: 12 Nov 2010 *

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