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Computationally efficient learning of multivariatetmixture models with missing information

✍ Scribed by Tsung-I Lin; Hsiu J. Ho; Pao S. Shen


Publisher
Springer
Year
2008
Tongue
English
Weight
365 KB
Volume
24
Category
Article
ISSN
0943-4062

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This paper presents a new approach for the dynamic simulation of linear chromatographic processes, in particular, for the simulated moving bed (SMB) process. The goal of this work was the development of a computationally efficient model which is needed for modelbased process control. Three different