Discerning key parameters influencing high productivity and quality through recognition of patterns in process data

BMC Proceedings

Meeting Abstract

Wei-Shou Hu¹  Huong Le¹  Marlene Castro-Melchor¹  George Karypis²  Christian Hakemeyer³  Christine Jung³  Berthold Szperalski³ 

[1] Department of Chemical Engineering and Materials Science, University of Minnesota, 55455, Minneapolis, MN, USA;Department of Computer Science and Engineering, University of Minnesota, 55455, Minneapolis, MN, USA;Roche Diagnostics GmbH, 82377, Penzberg, Germany;

关键词: Prediction Accuracy;    Support Vector Regression;    Stirrer Speed;    Support Vector Regression Model;    Final Titer;   

DOI  :  10.1186/1753-6561-5-S8-P91

来源: Springer

【 授权许可】

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© Le et al; licensee BioMed Central Ltd. 2011. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.