%0 Journal Article
	%A R. Simutis and  V. Galvanauskas and  D. Levisauskas and  J. Repsyte
	%D 2014
	%J International Journal of Agricultural and Biosystems Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 89, 2014
	%T Bioprocess Optimization Based On Relevance Vector Regression Models and Evolutionary Programming Technique
	%U https://publications.waset.org/pdf/9998131
	%V 89
	%X This paper proposes a bioprocess optimization procedure based on Relevance Vector Regression models and evolutionary programming technique. Relevance Vector Regression scheme allows developing a compact and stable data-based process model avoiding time-consuming modeling expenses. The model building and process optimization procedure could be done in a half-automated way and repeated after every new cultivation run. The proposed technique was tested in a simulated mammalian cell cultivation process. The obtained results are promising and could be attractive for optimization of industrial bioprocesses.

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