@article{(Open Science Index):https://publications.waset.org/pdf/9998131,
	  title     = {Bioprocess Optimization Based On Relevance Vector Regression Models and Evolutionary Programming Technique},
	  author    = {R. Simutis and  V. Galvanauskas and  D. Levisauskas and  J. Repsyte},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {8},
	  number    = {5},
	  year      = {2014},
	  pages     = {441 - 444},
	  ee        = {https://publications.waset.org/pdf/9998131},
	  url   	= {https://publications.waset.org/vol/89},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 89, 2014},
	}